ForrestKnight on AI Coding
A guide on how to effectively and professionally use AI for writing code, as experienced developers do.

https://www.youtube.com/watch?v=5fhcklZe-qE

For complex planning, use more powerful models, and for code generation, use faster and cheaper ones. Do not switch models unnecessarily within the same conversation.

AI can quickly analyze other people's code or libraries, explain architecture, and draw component interaction diagrams.

1. Preparation. At the beginning of the work, use AI to analyze the entire project and build a context description for it. Create files with rules (global for all projects and specific to a particular one). Specify your technology stack there (e.g., TypeScript, PostgreSQL), standards, branch naming conventions, etc.
2. Specificity. At the start of a new chat, indicate which files need to be changed and which code to pay attention to. Write in detail, for example, "Add a boolean field editable to the users table, expose it via the API, and on the frontend, show the button only if this field is true." Add logs, and error screenshots.
3. Manage. AI first creates a detailed step-by-step implementation plan. You review, correct, and only then give the command to generate code. You cannot blindly trust its choices.
4. Edit. Analyze the generated code. It is necessary and possible to manually edit and refine it to a high quality. Ask why AI chose a particular solution and what the risks are.
5. Team of Agents. You can launch one agent for writing code, a second for writing tests, and a third for reviewing the first agent's code.
6. You can give Git commands in natural language, such as "create a branch for the release and move bug fixes there."

#prompts #bestpractices #wrap