If you have a little technical background and understand how to write some programming code, by following this tutorial, you can become an AI agent developer in the next hour.
- Create your product requirement document, and write everything your agent will perform.
- How your AI agent executes actions, the complete application process.
The tools
First, learn about what tools you are required to have.
- An agenetic IDE is required; windsurf is better and easy to use.
- Writing code is difficult for me because I never have a good memory, so Cursor AI is suitable for building a full-stack app.
- If you have no idea in mind, Replit is better to build an MVP.
Why start from scratch?
In an AI-driven world, it is the worst practice to start from zero; do not waste your time constructing the initial code. It is always better to build quickly with boilerplates. These starter kits are always created with pre-assembled components. For example, CodeGuide gives you multiple boilerplates code for AI development requirements.
Avoid traditional development methods.
Why fight with technical errors when different AI models are already available to resolve all of your technical debugging needs?
- Claude’s sonnets 3.5 and 3.7 are better for writing and executing the code.
- The GPT o1/o3-mini-high is better at debugging complex errors.
- You can use the Gemini Flash 2.0 to read your code and create documentation.
Debugging Method
Again, you are writing code in the AI world. Write a prompt in your favorite AI engine and ask “Identify the core problem in these coding statements and perform your operation step by step”. You can also command AI engines to search the web to find the solution. Previously, developers searched Stack Overflow to find the right solution.
Build your tool library.
- https://bolt.new/: Create any type of full-stack app.
- https://supabase.com/: Create landing pages.
- https://lovable.dev/: Create apps more quickly
- https://www.anthropic.com/: Helps write code quickly
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