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Top AI Coding Tools in 2025: Best Models for Developers & Programmers

Top AI Coding Tools in 2025: Best Models for Developers & Programmers
Hostman Team
Technical writer
Infrastructure

In the early days of computing, programmers wrote code entirely on their own, from scratch and solo. Hardcore mode! The only help they had was paper reference books describing the syntax of specific languages.

Today, things are very different. In addition to countless electronic manuals, guides, articles, videos, and forums, we now have neural networks, arguably one of the most groundbreaking technologies of the early 21st century.

Trained on massive datasets, these AI models have become the primary source of coding assistance.

The advantages are obvious. AI coding tools speed up the development process by taking on much of the routine work involved in writing code. This allows developers to focus on architecture and logic instead of syntax errors and inefficient constructs.

Some tools generate code from scratch, and others analyze and complete already-written code.

However, in recent years, so many AI-powered projects have emerged that it can be difficult for the average person to figure out which AI is actually the best for programming.

There are both specialized and general-purpose models. Some only generate specific types of data (like code), while others handle all kinds (text, code, images). Some are free, others paid.

To determine which AI is the best for programming (and why), we first need to create a list of the top coding AIs, and then analyze the pros and cons of each one.

1. GitHub Copilot

Copilot is arguably the best AI coding assistant, developed by GitHub in collaboration with OpenAI. It’s positioned as an AI co-programmer trained on millions of open-source GitHub repositories.

Features

Developed by the largest cloud-based code hosting platform, Copilot leads the list of neural networks for programming, offering a wide range of capabilities:

  • Code Generation: Produces ready-to-use code snippets in all major languages based on text descriptions: scripts, functions, classes, even entire files. While the AI sometimes generates imperfect results, this can be resolved by making the user’s request more specific.

  • Code Translation: Converts code written in one programming language into logically equivalent code in another. This feature alone puts Copilot ahead of many other coding AIs, as not all models can do this effectively.

  • Code Autocompletion: Suggests autocompletion based on the overall context of the codebase.

  • Refactoring: Enhances code structure, optimizes algorithms, and fixes errors. It can also suggest alternative, more efficient solutions that a developer might not have initially considered.

  • Editor Integration: Integrates via plugins into popular text editors and IDEs like Visual Studio Code, Neovim, JetBrains IDEs, and others.

These features help automate routine coding tasks.

A lesser-known use case of Copilot is learning programming languages. The AI can generate simple code snippets that demonstrate the syntax and mechanics of a specific language.

Interestingly, this teaching method aligns with Stephen Krashen’s Comprehensible Input Hypothesis, which states that language acquisition is driven by understandable input, i.e., the material that the learner can interpret with explanation.

Similarly, Copilot can be used as an interactive reference, potentially replacing resources like Stack Overflow.

Languages Supported

Copilot supports all major programming languages: C, C++, C#, Go, Java, JavaScript, Kotlin, PHP, Python, Ruby, Rust, Scala, Swift, and TypeScript.

It can also generate code using popular frameworks and libraries like React, Angular, Vue.js, Node.js, Django, Flask, and Ruby on Rails.

Pricing Plans

Naturally, GitHub offers only a limited set of Copilot features for free. The free version also has monthly limits on code generations.

The full version is available through subscriptions for individuals, teams, and enterprises. Pricing starts at $4/month, with a 30-day free trial. In return, users get a powerful tool for faster coding.

Despite requiring a subscription, many developers consider Copilot the best AI coding assistant, especially when compared to general-purpose models like ChatGPT, which aren't primarily designed for code generation.

2. Tabnine

Tabnine is an AI that generates code snippets not based on explicit prompts but on the development context formed by the programmer’s current work.

Features

Unlike Copilot, Tabnine primarily focuses on code autocompletion. However, it also offers several distinctive features:

  • Offline Mode: The Enterprise version of Tabnine can run entirely offline, generating code without internet access. This improves data privacy, as code is processed locally and not sent to the cloud; however, it does require more system resources.

  • Personalized Generation: Tabnine learns from a specific developer’s codebase, mimicking their unique style and preferences. This results in personalized suggestions that feel as if the code were written by the developers themselves, in contrast to Copilot, which was trained on public GitHub repositories.

  • IDE Integration: Since Tabnine is not a standalone application but a smart autocompletion engine, it integrates with virtually all major IDEs through plugins, including VS Code, IntelliJ, Visual Studio, Eclipse, Android Studio, AppCode, CLion, GoLand, Neovim, PhpStorm, PyCharm, Rider, RubyMine, WebStorm.

  • Interactive AI Chat: Tabnine also offers a built-in chat interface for personalized communication with the AI. Users can ask questions related to the code in their current editor tab.

All in all, Tabnine is geared more toward typing speed and efficiency rather than generating large chunks of code from scratch. Think of it as classic autocompletion but supercharged with AI.

Languages Supported

Like Copilot, Tabnine supports autocompletion for all major programming languages: Python, JavaScript, TypeScript, Java, C/C++, C#, Go, Ruby, Swift, PHP, Rust, Kotlin, Perl, Dart, Scala.

Pricing Plans

Tabnine is available under two subscription plans:

  • Dev – from $9/month for individual developers.
  • Enterprise – from $39/month for teams and companies.

The Enterprise plan offers advanced customization options, enhanced security, and on-premise deployment for maximum privacy.

3. ChatGPT

ChatGPT is a generative AI developed by OpenAI, based on the GPT (Generative Pre-trained Transformer) architecture.

Unlike Copilot and Tabnine, ChatGPT can generate not just code but also various forms of text content. That makes it a general-purpose neural network—a versatile tool for generating any data based on a user's prompt.

Some might argue that ChatGPT is more text-oriented than code-focused. However, it remains one of the best free AI for coding, as its basic version is available to everyone without a paid subscription.

Features

ChatGPT operates through a chat interface, where prompts are entered as natural language messages.

That’s why its name consists of Chat and GPT:

  • Chat: its ability to hold conversations, answer questions, and maintain real-time dialogue.
  • GPT: short for Generative Pre-trained Transformer:
    • Generative: creates original text rather than copying answers,
    • Pre-trained: trained on vast data corpora,
    • Transformer: refers to the model’s architecture, which uses attention mechanisms to understand and generate contextually accurate responses.

In short, ChatGPT is a conversational AI capable of tackling almost any language-based task — including code generation.

Here’s what it can do:

  • Conversational Interaction: The AI responds as if you were chatting with another person. You can ask it to use a certain tone, generate text, tables, code, and even simple images. This makes ChatGPT a virtual assistant, coworker, or advisor.

  • Free Code Generation: The base model is completely free to use. More advanced versions offer improved performance but require a subscription.

  • Multi-Format Output: It can create more than just code. You can generate any language-based content based on a clear prompt and adapt it to the ongoing context of the conversation.

For example, you could write this fun prompt:

“Give me an example of Python code with a helicopter and a car class. Each should have a fuel variable initialized to 100. Then create objects of each class and have the helicopter hook the car with a cable.”

ChatGPT would generate something like this:

class Helicopter:
    def __init__(self):
        self.fuel = 100
        self.hooked_car = None

    def hook_car(self, car):
        self.hooked_car = car
        print("The helicopter has hooked the car with a cable.")

class Car:
    def __init__(self):
        self.fuel = 100

helicopter = Helicopter()
car = Car()
helicopter.hook_car(car)

You can check this code in any online Python interpreter and get the expected output:

The helicopter has hooked the car with a cable.

So, if you're working late at night and wondering which neural network is best for hands-off code generation, ChatGPT is worth considering. After all, OpenAI is a global leader in machine learning.

At the very least, ChatGPT is the best conversational AI for code creation, capable of generating not only code but also full documents, tables, and even basic images.

Languages Supported

Since it was trained on a vast linguistic dataset, ChatGPT can generate code in nearly any language and not just general-purpose ones.

It supports all major programming languages, including Python, JavaScript, TypeScript, Java, C, C++, C#, Go, PHP, Swift, Kotlin, Ruby, Rust, Haskell, Lisp, Elixir, Erlang, and F#.

It also understands domain-specific languages: HTML, CSS, SASS/SCSS, SQL, GraphQL, Shell, PowerShell, Lua, Perl, YAML, and JSON.

Listing them all would be pointless, as ChatGPT can understand and generate code or text in virtually any format. That's its defining strength.

Pricing Plans

OpenAI offers four subscription tiers for ChatGPT, each expanding the capabilities of the last:

  • Free – All basic features. No cost.
  • Plus – Enhanced performance and access to newer models with better contextual understanding and faster responses. Starts at $20/month.
  • Pro – Full access with no usage limits. Starts at $200/month.
  • Team – Adds collaborative tools, custom roles, and enhanced security for data sharing and storage. Team data is excluded from AI training — ensuring full confidentiality. Starts at $25/month.

Paid plans provide higher accuracy, better performance, and more stability. Still, the free version offers nearly identical functionality — the difference lies in the fine details.

4. Claude

Claude is another natural language processing AI developed by Anthropic. According to its creators, Claude is a safer, more ethical, and more predictable alternative to ChatGPT.

Features

Overall, Claude's capabilities are similar to ChatGPT’s, with a few notable distinctions:

  • Image and Document Analysis: Claude can interpret the contents of images and documents in detail, recognizing real-world objects, diagrams, graphs, numbers, and text. ChatGPT is also capable of this, but only in its paid version. Claude offers it natively.

  • Massive Context Window: Claude supports up to 200,000 tokens, which allows it to analyze large volumes of data. By comparison, ChatGPT maxes out at around 128,000 tokens. One token is roughly 5 characters of English text.

  • High Ethical Standards: Thanks to built-in ethical constraints, Claude is less likely to generate inappropriate content, making its responses more conservative. While this may not matter to some users, from a broader perspective, output filtering is a key trait that separates the best AI coding tools from the rest, especially as AI tools become mainstream.

In short, Claude offers high factual accuracy, which is crucial for generating reliable code based on user instructions.

Languages Supported

According to Anthropic, Claude performs best when generating Python code. However, it also supports other popular languages: JavaScript, Java, C++, Go, PHP, Ruby, C#, Swift, TypeScript, Kotlin, and Rust.

Of course, the full list of supported languages isn’t publicly available, as the model was trained on diverse datasets. Practical testing is the best way to determine support.

Pricing Plans

Claude offers several pricing tiers:

  • Free – Standard chat access via browser or mobile app (iOS/Android). No cost.
  • Pro – Enables structured chats, document analysis, and access to additional Claude models and features. Starts at $18/month.
  • Team – Adds collaboration features for group work. Starts at $25/month.
  • Enterprise – Provides deeper control over generation processes, user role management, and enhanced data privacy. Custom pricing.

Despite Claude being one of the top free AI for coding, it can’t be considered a full competitor to ChatGPT.

Here’s why:

  • Smaller Knowledge Base: ChatGPT was trained on more data, producing more accurate and diverse responses.
  • Limited Availability: Claude is not as widely accessible as ChatGPT and is available in fewer countries.
  • Few Integrations: ChatGPT is integrated into many products (e.g., Office, Azure), while Claude is not.
  • Slower Development: ChatGPT evolves rapidly, releasing updates and features faster than Claude.

Still, Claude is worth trying for anyone who regularly uses AI in programming or text generation tasks.

5. Snyk Code

Snyk Code is an AI-powered static analysis tool for detecting vulnerabilities and errors, part of the broader Snyk ecosystem.

Features

Trained on a database of known vulnerabilities (updated regularly), Snyk Code focuses on secure development:

  • Vulnerability Detection: Performs real-time code analysis during development and commits to catch threats before they reach production.

  • Development Tool Integration: Works with GitHub, GitLab, Bitbucket, and Azure Repos, and is compatible with popular IDEs: VS Code, IntelliJ IDEA, PyCharm, WebStorm, Eclipse.

  • Contextual Fix Recommendations: For every issue found, it provides an explanation and sample fixes, helping developers patch their code quickly and securely.

In essence, Snyk Code is best used after you have written the code as an added security layer before deployment.

Languages Supported

Snyk Code supports major programming languages only: Apex, C, C++, Go, Groovy, Java, Kotlin, JavaScript, .NET, PHP, Python, Ruby, Scala, Swift, Objective-C, TypeScript, VB.NET.

Pricing Plans

Snyk Code is free for individual use, but teams and companies can choose from the following:

  • Free – Basic analysis with a limit of up to 200 scans per month.
  • Team – Adds support for private repos, CI/CD integration, and advanced security features. Starts at $25/month.
  • Enterprise – Includes local deployment, advanced analytics, and enterprise-level controls. Custom pricing.

While Snyk Code doesn’t generate code, its powerful analysis tools and free tier perfectly justify its inclusion in any list of the best free AI tools for coding.

6. Documatic

Documatic is an AI that automatically generates documentation and enables codebase exploration. It analyzes the project, extracts key information, and structures it for easy reference.

Features

Documatic is designed for codebase analysis; all other functionality stems from this core:

  • Automatic Documentation Generation: Produces detailed code explanations, reducing the need for manual comments.

  • Code Search and Navigation: Responds to developer queries with relevant code snippets and context.

  • Project Structure Visualization: Displays project components (dependencies, microservices, repos) as interactive graph nodes, useful for understanding complex architectures.

  • Code Explanation: Clarifies algorithms and logic, making unfamiliar projects easier to understand.

Documatic is passive: it doesn’t generate code, only analyzes and documents it.

Languages Supported

It supports modern interpreted and compiled languages: Python, Java, JavaScript, TypeScript, Go, C#, PHP.

Pricing Plans

Documatic keeps things simple with just two tiers:

  • Free – Full basic functionality for solo developers, including auto-documentation. No cost.
  • Team / Enterprise – A combined tier for corporate use, offering unlimited analysis, integrations, reporting, and collaboration tools. Custom pricing.

While it’s easy to chase the best AI coding tools, it’s crucial to remember: the developer matters more than the AI. Skills, logic, creativity, and experience outweigh any neural network’s output.

You should only upgrade to premium tools when free features no longer meet your needs.

7. Mintlify

Mintlify is a comprehensive online platform for automating code documentation with AI.

Unlike Documatic, Mintlify offers cloud hosting with visually styled, user-accessible documentation sites.

For instance, a developer or team building a JavaScript library can generate full documentation from a GitHub repo, resulting in a live, multi-page site with API references. These pages are editable using a WYSIWYG editor.

Fun fact: Anthropic uses Mintlify to power the documentation for Claude.

Features

Mintlify connects the project’s codebase to a public-facing documentation site, offering:

  • Automated Documentation Generation: Generates detailed documentation (including API references) directly from your codebase.

  • Version Control Integration: Syncs with GitHub and GitLab, ensuring documentation updates automatically when the code changes, which makes it perfect for CI/CD pipelines.

  • Documentation Site Hosting: Creates a stylish, SEO-optimized site with editable sections.

  • Analytics & Feedback: Provides user analytics and supports direct feedback collection to improve documentation quality.

While powerful, Mintlify has a learning curve as its feature-rich interface takes time to master.

Languages Supported

Supports 12 modern languages: Python, JavaScript, TypeScript, C, C++, PHP, Java, C#, Ruby, Rust, Dart, Go.

Pricing Plans

Mintlify offers four plans:

  • Hobby – Free plan for individuals with full standard functionality.
  • Pro – Advanced configuration and analytics. Starts at $150/month.
  • Growth – Allows full customization, branding removal, and other perks. Starts at $550/month.
  • Enterprise – Full configuration control and dedicated support. Custom pricing.

Where other AI coding tools show their intelligence directly, Mintlify’s AI works silently in the background.

At first glance, it may seem like a manual documentation editor; however, over time, it reveals itself as an automation powerhouse, seamlessly connecting code to documentation.

8. Codeium

Codeium is an AI-powered coding assistant that consists of several products built on artificial intelligence:

  • Windsurf Editor – an integrated development environment (IDE) with built-in AI.
  • Forge – an AI assistant for code analysis and review.

In addition to these, there’s a browser-based chat called Live, as well as numerous IDE extensions – Codeium Extensions.

E7261d0c 08e8 4178 9ec8 Bb509066df1d.png

The Codeium Windsurf Editor integrated development environment, with the code editor on the left and the AI chat on the right. Source: codioailab.com

Features

Codeium offers a wide range of features that assist during coding and code editing:

  • Code Autocompletion: Provides intelligent suggestions as you type.

  • Chat Assistant: A built-in AI chat can explain code snippets in detail, offer refactoring suggestions (passively while you write), and answer programming questions directly within the development environment. It can also advise on build commands and configuration.

  • Intelligent Search: Ensures quick access to classes, methods, functions, and code fragments, streamlining navigation in large codebases.

Essentially, Codeium aims to provide a comprehensive suite of tools for virtually all coding scenarios – all powered by AI.

Languages Supported

Supports all popular programming languages, including: Python, JavaScript, TypeScript, Go, Java, C#, PHP, Ruby, Kotlin, Swift.

Pricing Plans

Codeium offers several pricing plans for both individual developers and entire teams:

  • Free – All standard features. Free of charge.
  • Pro – Expanded context and deeper AI understanding, faster autocompletion, and other advanced features. Starting at $15/month.
  • Pro Ultimate – Even more useful tools and priority support. Starting at $60/month.
  • Teams – Collaboration and analytics tools for teams. Starting at $35/month.
  • Teams Ultimate – Enhanced AI model access. Starting at $90/month.
  • Enterprise SaaS – Custom pricing upon request.

9. Gemini

Gemini is a versatile AI developed by Google. Despite being relatively new, it rounds out our list of the top AI coding assistants in 2025. Unsurprisingly, it’s a direct competitor to both ChatGPT and Claude. 

Features

It’s important to recognize that Google is a major player (arguably a monopolist) in the software market. With vast cloud infrastructure, massive data resources, and many popular services (plus its own OS, Android), Gemini offers a broad array of capabilities for working with both text and visual data:

  • Text Generation, Analysis, and Translation.

  • Image Generation and Analysis: Generates images from text prompts and can also analyze images and describe their contents.

  • Code Generation and Analysis: Generates code snippets in any language and format. Also understands and analyzes code, providing suggestions for improvement. Google also offers the Gemini Code Assist extension for popular IDEs.

  • Integration with Google Services: Integrated with many Google apps and Android tools.

  • Fast Response Generation: Provides answers faster than ChatGPT and generally operates at a higher speed.

  • Large Context Window: Can handle up to 1 million tokens.

Notably, the advanced capabilities of Gemini’s language model are available through a special AI Studio for developers. This environment allows not only text-based interaction but also screen sharing for more detailed feedback.

AI Studio is designed for app developers who want to test Gemini integration with their products.

Languages Supported

Gemini supports the following major programming languages: Python, Java, C++, JavaScript, Go, TypeScript, C#, Ruby, PHP, Swift, Kotlin, Rust, SQL, HTML, CSS, Bash, Perl, Lua, R, Dart, Scala, Julia, Fortran.

Pricing Plans

Google offers a fairly straightforward pricing structure for Gemini:

  • Free – Standard model access.
  • Advanced – Enhanced performance, accuracy, and multimodal capabilities. Starting at $22/month.

Thus, just like ChatGPT, Gemini is another great free AI for programming, particularly when it comes to working with general-purpose data. The ability to generate not only code but also supporting text is an important asset in development.

Conclusion

So, what is the best AI for coding? That’s for each user to decide. Some may be satisfied with intelligent autocompletion, while others may require the generation of large code fragments across multiple languages – complete with detailed explanations.

Model

Type

Features

Pricing

Copilot

Specialized

Code generation, autocompletion

Subscription

Tabnine

Specialized

Autocompletion

Subscription

ChatGPT

General

Generation, analysis

Free, subscription

Claude

General

Generation, analysis

Free, subscription

Snyk Code

Specialized

Analysis

Free, subscription

Documatic

Specialized

Documentation

Free, subscription

Mintlify

Specialized

Documentation, hosting

Free, subscription

Codeium

Specialized

Generation, analysis

Free, subscription

Gemini

General

Generation, analysis

Free, subscription

Ultimately, the most important factor is not the tool itself, but the developer using it. Skills, experience, logic, critical thinking, and creativity all outweigh the capabilities of any neural network.

So, switching to paid versions of AI products – whether they’re code generators or analyzers – only makes sense when the free version clearly falls short for your needs.

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With its help, developers can get rid of using traditional manual revisions or ad hoc scripts, GitOps relies on Git as the authoritative source for your system’s desired state. This means your cluster configuration, deployment manifests, Helm charts, and more are stored and managed within a single Git repo. So, when you need to update infrastructure or release a new application version, you simply commit a change to Git. GitOps controllers then detect the change and automatically update the live environment to match. This shift brings the principles of software development—such as version control, collaboration, and CI/CD—to operations teams. GitOps is especially valuable in cloud-native environments, where teams work with Kubernetes or similar orchestration tools. GitOps Definition GitOps is a kind of workflow where infrastructure is treated as code (not as a full app or environment), stored in Git. It also reconciles with the actual running environment. This ensures consistency, traceability, and security throughout the deployment lifecycle. How Does GitOps Work? GitOps was created as the main tool to control your apps and infrastructure like the unified entity, which you control from a single Git repository. But how does it work? It’s simple - continuous reconciliation. A GitOps controller constantly checks for differences between the actual state of your infrastructure and the desired state stored in Git. If the live state drifts (due to unnecessary or planned changes) the controller detects the inconsistency and automatically reverts the environment back to the last known perfect state as defined in Git. This is something that makes GitOps a very useful tool. What Are the Main GitOps Tools? GitOps relies on several open-source tools that integrate with your existing CI/CD stack. Here's a quick overview of the most popular options: Argo CD Argo CD is a declarative continuous delivery tool built for Kubernetes. It syncs your manifests from Git to your clusters and helps you visualize deployment status. Flux Flux automates Kubernetes deployments using Git as the source of truth. It's lightweight and integrates well with Helm charts. Helm Helm is a Kubernetes package manager. It makes application definitions simpler and is often used in GitOps to manage complex deployments. Terraform Let’s not forget that Terraform is not GitOps-native, It’s mainly used in GitOps pipelines for managing infrastructure outside Kubernetes, for example DNS. Quick Overview of the GitOps Workflow A typical GitOps workflow involves several tightly integrated steps that form a reliable deployment pipeline. Let’s walk through the process from code commit to live deployment. A developer writes code and pushes it to a Git repository. A CI pipeline builds the code, creates a container image, and pushes it to a container registry. A change is made to a Kubernetes manifest or Helm chart in the Git repository. A GitOps controller (e.g., Argo CD or Flux) detects the change and applies it to the cluster. The cluster state is now aligned with the desired state declared in Git. The separation between CI and CD in this model ensures that your team remains focused on writing and testing code, while deployment and environment reconciliation are fully automated. This reduces risk, accelerates delivery, and improves infrastructure transparency. Benefits of GitOps GitOps offers several advantages for modern DevOps teams: Developer productivity: If you are already familiar with Git, you can easily apply your knowledge. Auditability: You can track and backup every change that was made during the development. Rollback support: You can easily revert changes at any moment if you need to.. Security: You can control access of your repositories all by yourself, without someone crushing into your code. Faster recovery: Everything is "on the air live”, so if you need to backup your file faster. How to Set Up a GitOps Pipeline Here’s a basic example of setting up a GitOps pipeline using Argo CD on a Kubernetes cluster. For Hostman, you can adapt these steps using custom infrastructure. Step 1: Install Argo CD Create a namespace for Argo CD: kubectl create namespace argocd Install Argo CD: kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml Step 2: Access the Argo CD UI Forward the Argo CD API server port: kubectl port-forward svc/argocd-server -n argocd 8080:443 Visit https://localhost:8080 in your browser. Login with the default admin user and password (retrieved from the secret). How to Use GitOps with Kubernetes Now let’s connect your Git repository to Argo CD to start syncing Kubernetes manifests. Step 1: Define Your App Configuration In your Git repo, create a Kubernetes manifest, for example deployment.yaml: apiVersion: apps/v1 kind: Deployment metadata: name: hostman-web spec: replicas: 2 selector: matchLabels: app: hostman-web template: metadata: labels: app: hostman-web spec: containers: - name: web image: hostman/web-app:latest Commit and push the file to Git. Step 2: Create the Argo CD Application Use the Argo CD CLI or web UI to create a new application: argocd app create hostman-web \ --repo https://github.com/your-user/your-repo.git \ --path ./k8s \ --dest-server https://kubernetes.default.svc \ --dest-namespace default Synchronize the app: argocd app sync hostman-web Argo CD will now monitor your repo and update the deployment automatically. Are There Disadvantages of GitOps? While GitOps offers many benefits, there are some challenges to consider: Git conflicts: When multiple teams edit code it can lead to some troubleshooting. Secret management: Git is a more “social” tool, when it comes to storing your secrets, so it’s better to use something else. Complexity at scale: Managing many environments and repositories sometimes becomes chaotic without proper management. Planning ahead and using a modular approach (e.g., mono or multi-repo strategies) can help mitigate these issues. Summary GitOps the bringer of power of Git to your infrastructures. GitOps is seeing your infrastructure as code and automates reconciliation, also let’s not forget that this instrument can enhance visibility, consistency, and deployment speed of your state of art work. FAQ What exactly is GitOps? GitOps is a tool to manage infrastructure and deployments using Git as the single source of truth. Is GitOps only for Kubernetes? While GitOps is a perfect fit for Kubernetes (because of its declarative nature), it’s not limited to it. You can apply GitOps principles to other infrastructure types too. What tools do I need to start with GitOps? Popular GitOps tools include Argo CD, Flux, and Jenkins X. If you're using Hostman, you can easily integrate Git-based workflows with Kubernetes and start automating deployments right away. Do I need to change how I write code? Not really. GitOps works with the Git workflows you're already using — like branches, pull requests, and commits. What changes is how those commits impact your infrastructure: once merged, your environment syncs with your repo automatically.  
30 July 2025 · 7 min to read
Infrastructure

Top 5 No-Code Chatbot Builders for Small Businesses

The AI revolution in recent years has really given a dramatic rise to chatbots. Chatbots have now become an essential tool for companies of all sizes. It helps to streamline customer service, boost engagement, and drive sales—all while freeing up your valuable time. In today's business environment, customers expect instant, personalised communication with brands. For this reason, more and more organizations are looking to AI chatbot builders to improve customer experience and enhance operational efficiency. Gone are the days of hiring expensive developers or spending weeks learning complex programming languages. Whether it's for marketing, customer service, or e-commerce, you can achieve seamless chatbot integration quickly and effortlessly with no-code solutions. Top 5 Chatbot builders These are leading AI chatbot online platforms. These messaging bots can answer customer queries 24/7, ensuring seamless support with no human intervention. 1. Chatbase Chabase is truly a special chatbot builder solution. It has a clean, minimal user interface. You can get a feel of using this messaging bot directly from its website even without setting up an account. Chatbase supports working with different AI models like gpt-4-turbo, command-r, gemini-1.5-pro, gpt-4, and others. Here are the official details on what models to use based on your use cases and scenarios.  Pricing: With the free plan, Chatbase offers 100 message credits/month. Its other pricing tier includes Hobby ($40/mo), Standard ($150/mo), and Pro ($500/mo). Unlike other similar providers, Chatbase provides API access even with its Hobby plans.   2. Botsonic Known for its AI and NLP (Natural Language Processing), Botsonic enables human-like, context-aware conversations. It offers multi-channel support as well. Pricing: If you’re a small business owner looking for a reliable chatbot solution, Botsonic will fit your bill. Its pricing tier starts at $19/mo. Unlike others, Botsonic even provides access to its API with its Advanced plan ($299/mo). Botsonic offers a free trial period that allows businesses to experience its features before deciding to purchase. 3. WotNot WotNot provides an intuitive user interface. The platform provides a wealth of templates to help enterprises quickly build a messaging bot based on different business requirements. WotNot supports everything from simple FAQ autoresponders to complex conversation flow management. By setting up rules, WotNot can automate a range of tasks, reducing the need for human intervention and thus increasing efficiency. Pricing: WotNot comes with a free plan. With its free plan, 100 chats and 500 credits are included. The Starter plan is priced at $99/month, Premium ($299/month) and Ultimate ($899/month) 4. Landbot Landbot is a powerful no-code chatbot builder. Whether you require simple question-and-answer conversations or more advanced conditional logic, Landbot can make it happen. It offers integration for Zapier, Shopify, Wordpress, Webflow, Slack, Calendly, Mailchimp, and others. Here’s the comprehensive list of all supported integrations by Landbot. Pricing: Their free plan allows users to experience the basic features of the platform, such as creating a chatbot, embedding a bot on a website via a web plugin, and supporting basic conversation flow design. However, there are some limitations to the free package, such as the number of conversations per month (100 per month). The AI chat feature isn’t available in its free plan. Its other pricing tier includes Startup (40 euros/month), WhatsApp Pro (200 euros/month), and Business (400 euros/month). 5. Tidio Tidio is an all-in-one solution that integrates both live chat and automated messaging. The multilingual feature makes it an ideal fit for businesses with an international audience. It provides real-time visitor monitoring. Pricing: With the free plan, Tidio offers 50 handled conversations. Their pricing plan is unique in regards, they only bill for Handled Conversations. Handled Conversations means conversations that involve a human agent. You’ll be billed only for relevant interactions. That's great news, isn’t it? Here are the pricing tiers for Tidio: Starter ($24.17/mo, 150 Handled Conversations), Growth ($49.17/mo, 250 Handled Conversations). Their Premium plan ($2999/mo) offers unlimited handled conversations. Criteria for Choosing the Best No-Code Chatbot Builder When searching for a no-code chatbot builder, it's crucial to look at many factors to ensure it will effectively meet your needs. Ease of Use One of the core features of chatbots should be ease of use. This means that even users with no programming experience can easily create and manage chatbots. A no-code platform should be straightforward and accessible for everyone, even if you're not technically skilled.  The platform should offer a variety of ready-to-use templates for typical tasks. It should also have easy options for setting up how the bot responds and what triggers its actions. Customization Customization is a key factor in ensuring that your chatbot matches your brand image and business needs. The ideal no-code platform should allow you to customize in a number of ways: templates and preset functionality. Many platforms offer preset templates for common business needs, such as customer support, lead generation, etc. You can choose the right template and modify it to suit your business needs for a quick start. The no-code chatbot should allow you to customize the appearance design of the chat window, including colors, layout, fonts, button styles, etc., to be consistent with the brand image. In addition to appearance, you can customize the chatbot's conversation flow to ensure that it interacts with users in a personalized and natural way. Integrations A no-code chatbot should support multiple platforms, including websites and social media, e.g., Facebook, WhatsApp, WeChat, etc. This allows you to interact with users on a variety of channels and increase touchpoints. AI Capabilities If your needs include in-depth conversations with your customers, it's critical to choose a platform with robust NLP technology. It can help the chatbot understand and respond to your users' natural language, making conversations smoother and smarter. Pricing Some platforms like Landbot offer free trials (in some cases, even without a credit card). Free trials allow you to test things quickly. Whereas some platforms charge based on usage, number of users, or advanced features. One should opt for platforms with transparent pricing tiers and features. Support Even though no-code chatbot builders are designed to be user-friendly, you’ll likely need assistance from time to time. Excellent customer support and available resources (documentation, tutorials, and community forums) can make your experience much smoother. Chatbots Comparison Here’s a comparison table highlighting key differences: Feature Chatbase Botsonic WotNot Landbot Tidio AI Model GPT-4 Claude 3 Gemini 1.5 GPT-3.5 GPT-4 Claude 3 GPT-3.5 GPT-4 Claude 3 Gemini 1.5 GPT-3.5 GPT-4 (includes custom support for DeepSeek, Gemini) Lyro (based on Claude LLM) Customization High (branding, behavior) Moderate (visual customization) High Medium (visual, behavior) Low Multi-Channel Support Website, WhatsApp, FB Messenger, Instagram, Slack, Shopify, Zapier, Wordpress Website, Whatsapp, Messenger, Calendly, Telegram, Salesforce, Freshdesk, Zendesk Website, WhatsApp, SMS, Email, ZOHO, Calendly, Hubspot, Salesforce, Instagram Website, WhatsApp, Zapier, Webflow, Slack, Calendly, Hubspot, Airtable Website, Wordpress, BigCommerce, Prestashop, Messenger, Whatsapp, Instagram Analytics Advanced (topic analysis, sentiment tracking) Basic (performance tracking) Offers a separate addon for Advanced Analytics Basic Basic (performance metrics) Basic (performance metrics) Pricing Free plan Paid plans from $40/month Free trial Paid plans from $19/month Free plan Paid plans from $99/month Free plan Paid plans from $39/month Free plan Paid plans from $24/month API Access Yes Limited (Only for Advanced and Enterprise Plans) Yes Yes Limited (Only for Plus and Premium Plans) Unique Features AI Playground for testing models Uses GPTRouter to generate best responses Intuitive Interface Lots of pre-made templates Imitate human-like conversations Which No-Code Chatbot Builder Is Right for You? Choosing the right no-code chatbot building platform for you involves making an informed decision based on factors such as your specific needs, business goals, budget, and technical capabilities. It’s important to consider not your current needs but also how it will scale when your business grows. If you're looking for a simple, affordable, easy-to-use platform that doesn’t require much technical knowledge, Chatbase and Botsonic are great options. It offers a straightforward setup process. If you want the capability of a live chat software together with a chatbot solution, choose Tidio.  FAQs Are there free chatbot builders available for businesses? Yes, platforms like Chatbase, Landbot, Wotnot offer a free plan to test things quickly. Do I need a developer to integrate the chatbot with my website? No. One benefit of no-code chatbot builders is that they often provide simple integration options, such as embedding code snippets or using plug-ins, that don’t require a developer. How can I use Chatbot for my Shopify store? Tidio comes with a dedicated Shopify plugin for this purpose. With other providers, you need to copy and paste the documented widget HTML code manually. What if my messaging bot is not aware of what to reply when asked a question? These no-code chatbot builders let you specify default responses or pass on the conversation to a human agent if the bot cannot respond to a question.  Can I monitor the performance of my chatbot? Yes, providers like Chatbase or Botsonic will provide you with advanced analytics, including users' geographical locations, popular topics, and unanswered queries. Conclusion As artificial intelligence and automation technologies continue to advance, using chatbots is not only a means to improve operational efficiency but also a necessary tool to build brand competitiveness. If you're still on the fence, now is the perfect time to get started. Whether you're a small startup or an established enterprise, these no-code chatbot platforms like Tidio, Chatbase, Botsonic enable you to build intelligent bots that will meet your business needs. 
29 July 2025 · 9 min to read

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