In recent times, the rapid evolution of artificial intelligence (AI) has greatly changed the world of software development. As we are moving ahead in 2025, AI-powered tools like code generators, and AI assistants, are creating a strong place for themselves in the market.
AI-enabled code generators are revolutionizing the way developers write code by helping them produce cleaner, faster code and increasing efficiency. Not just writing code, these AI code generators also assist the developers in debugging sessions, integration of new features in projects, optimizing code, and much more.
In this blog, we will deep dive into the explore the application of AI in code generation, list some AI code generators available there, and understand how Potpie's approach to AI-assisted development might be the best fit for you in 2025.
Top AI Coding Tools in VS Code
At present, numerous AI code generators are available in the market that can be easily integrated into the VS Code IDE as extensions. Moreover, these generators can also be used as standalone applications accessible to developers.
VS Code still remains the primary choice of majority of the developers as ~77% of the developers across the world use VS Code as their preferred IDE. Multiple AI coding assistants has emerged as standout performers in this ecosystem.
When it comes to AI coding assistants, the first name that comes to mind is ChatGPT. ChatGPT has truly demonstrated the potential of large language models (LLMs) to assist programmers by using best llm for coding. Features like context awareness, language support, integration capabilities, and cleaner generated code have made ChatGPT one of the industry-leading AI code generators.
There are many other AI-coding assistants available as extensions for VS Code.
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GitHub Copilot - Copilot is an AI coding assistant developed by GitHub. It leverages OpenAI's Codex to provide context-aware code suggestions. When it comes to generating boilerplates and automating repetitive tasks, Copilot is very handy.
It also integrates seamlessly with Visual Studio Code, making it accessible to a wide range of developers.
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Tabnine - Known for its speed and efficiency, Tabnine offers AI-driven code completions and supports a wide range of programming languages.
It excels in offline mode, ensuring privacy and security for sensitive codebases.
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Cody - A popular AI-powered coding assistant developer by Sourcegraph, uses Sourcegraph's code intelligence platform to offer advanced features optimized for large-scale codebases and team collaboration.
Cody also provides semantic code navigation, making it easy to understand and explore complex codebases.
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Windsurf - An AI-powered IDE developed by Codeium, designed to enhance developer productivity. It introduces innovative features like "Flows" for collaborative coding and "Cascade" for multi-file contextual edits, making it a powerful tool for seamless team collaboration and efficient code management.
Windsurf also includes AI-powered terminal commands for streamlined development workflows.
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Cursor - A cutting-edge AI-powered code editor that simplifies coding with natural language instructions and predictive code completion. Cursor integrates with popular workflows, offering deep codebase understanding, multi-file updates, and privacy-focused options, making it an excellent choice for individual developers and teams alike.
It also supports custom AI models, allowing developers to tailor the assistant to their specific project needs.
and there are many other tools….
Challenges of AI Code Generators
ChatGPT has undoubtedly captured the attention of developers with the amazing set of features it offers. In fact, discussions about how much programmers use ChatGPT in their daily workflows are becoming increasingly common. But, one question arises How Good is ChatGPT Coding Really? Relying solely on ChatGPT for complex coding tasks have limitations:
- Lack of context - When it comes to large-scale projects, it becomes difficult for ChatGPT to understand the desired results the generate the code
- Security risks - Generated code snippets could lead to unwanted vulnerabilities in the project
- Understanding Complex code - ChatGPT fails many times to understand the structure of complex code and generate suitable code snippets
- Hallucinations - ChatGPT sometimes suggests non-existent or old packages that fail to work
ChatGPT is a great choice for generating code snippets, but considering it’s limitations, it is not an ideal tool to generate code snippets.
While there are multiple options available in the market, developers look for tools that can understand the context, generate production-ready code, produce clean code snippets, and maintain consistency. This is where Potpie AI comes to save us.
A tool to build AI Agents that truly understand your codebase
Potpie is an open-source AI-powered platform that helps developers to build custom, task-oriented AI agents for their codebases. Developers can build tailored AI agents designed to achieve the expected results.
Checkout our Github Repo and give us a star⭐
App | Documentation | API Reference | Chat with 🥧 Repo
Prompt-To-Agent: Create custom engineering agents for your code
Potpie is an open-source platform that creates AI agents specialized in your codebase, enabling automated code analysis, testing, and development tasks. By building a comprehensive knowledge graph of your code, Potpie's agents can understand complex relationships and assist with everything from debugging to feature development.
📚 Table of Contents
- 🥧 Why Potpie?
- 🤖 Our Prebuilt Agents
- 🛠️ Tooling
- 🚀 Getting Started
- 💡 Use Cases
- 🛠️ Custom Agents
- 🗝️ Accessing Agents via API Key
- 🎨 Make Potpie Your Own
- 🤝 Contributing
- 📜 License
- 💪 Contributors
🥧 Why Potpie?
- 🧠 Deep Code Understanding: Built-in knowledge graph captures relationships between code components
- 🤖 Pre-built & Custom Agents: Ready-to-use agents for common tasks + build your own
- 🔄 Seamless Integration: Works with your existing development workflow
- 📈 Flexible: Handles codebases of…
Potpie breaks down the entire codebase into constituting parts and builds a knowledge graph out of your code’s components. This graph helps the agents to understand the relationships between different parts of your code (functions, files, classes, etc.). This whole approach helps the Potpie to deeply understand your codebase and its context, irrespective of the size of your codebase, and perform the desired set of actions on it.
This approach of Potpie to breakdown your codebase and understand it has uniquely positioned the Potpie among other AI-code generators. Check out our blog to learn more about this.
Pre-built Agents
Potpie comes with some pre-built codebase agents that automate and optimize key aspects of software development:
- Debugging agent - This agent analyzes the errors in your codebase, finds the root cause of the errors, and provides suitable debugging steps to follow.
- Code Changes agent - Analyze the changes in your code by comparing the current branch code and default branch code and generate a detailed analysis of it. Works best with JavaScript, TypeScript, and Python codebases.
- Unit Test agent - Helps you to generate test plans and unit tests for specific functions or classes in your codebase. This agent can create initial test cases and help you refine and expand your test suite.
- Codebase Q&A agent - Answers every question about your codebase using the knowledge graph and code analysis tools. This agent can provide insights into various aspects of your code, from specific functions to overall architecture.
Here’s a flow diagram demonstrating the working of agent.
To learn more about these agents, check out our docs.
In case, these agents are not giving you the desired results and you are looking for something else, then Potpie is again there to save you.
Custom Agents
Along with all these pre-built agents, Potpie gives you the freedom to build your own custom agent depending upon your needs and requirements. Potpie’s Custom agents are an ideal option when it comes to perform repeatable tasks on your codebase which require precise context, reasoning and decision making.
When it comes to custom agents, the developer has the full liberty to build an agent that can perform any desired set of operations on the codebase. Some examples of these operations could be:
- Automatically generating boilerplate code for new features
- Identifying outdated or vulnerable dependencies and suggesting safer alternatives
- Automatically creating detailed API documentation from code and comments.
- Generating edge case scenarios for robust testing of applications
- Extracting and summarizing documentation from code comments
- Assisting in the migration of code to newer frameworks or libraries
These are just sample use-cases, you can build the custom agent using your own set of operations.
Custom agent comes with multiple features including:
- Autonomous - Provided with a goal and a set of tools. They can determine when to utilize which tool to achieve the desired goal
- Task-oriented - Purpose-built agents ensure that your goals are achieved with laser focus
- Effortless Integration - Fits easily into your workflow. Automate tedious repetitive tasks with Potpie
- Codebase aware - Turns your codebase into a comprehensive knowledge graph that powers every agent's thought process
To learn more about Custom agents, check out our docs.
It takes just 3 simple steps to build an agent using Potpie:
- Define the System Instructions - instructions that the agent will follow to perform a task
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Define the Agent - Create an
Agent
with the following key attributes:-
role
: Defines the agent’s function. -
goal
: The individual objective that the agent aims to achieve. -
backstory
: Provides context to the agent’s role and goal.
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- Create Tasks - Define the tasks that the agent will perform.
Using these Custom agents, you can build an AI-code generator for your codebase that matches your needs and gives you the desired results.
While many wonder if AI will replace programmers, tools like Potpie AI demonstrate that the future lies in collaboration between humans and intelligent systems.
Potpie AI is empowering developers to build smarter, faster, and more efficiently. Join the revolution today and explore the future of AI-assisted development with Potpie AI.
Check out our quick starter guide and start building with Potpie:
Got stuck anywhere? Join our Discord community -
Top comments (6)
The curation is amazing. Pretty sure by the end of 2025, any new names will add into this list
The knowledge graph approach is really interesting. Potpie seems very promising
Windsurf and Cursor are my favorite. Truly a life saver they are
The unaware of context problem is really serious. Have faced it multiple times
AI Agents are truly revolutionary. Potpie is leveraging AI Agents in a great way
Amazing Curation of code generators. Also, Potpie sounds super interesting. Will try it definitely