Step-by-step workflow
AI-Assisted Development Workflow
A complete workflow that uses AI coding tools to boost development efficiency, from requirements analysis to code deployment.
- Difficulty
- Intermediate
- Estimated time
- Ongoing
- Steps
- 5
- Best for
- Indie developers and small engineering teams; engineers who want to speed up prototype-to-production without sacrificing code quality.
This workflow is rated "Intermediate" and takes about Ongoing, with 5 steps across 3 tools. Steps are editorial suggestions — add or drop stages to fit your project, and confirm each tool's account, quota, and platform requirements before starting to avoid interruptions.
Required tools
Steps
- 01
Requirements Analysis
Use an AI assistant to analyze requirements and plan the technical approach and architecture design.
- 02
Coding
Write code efficiently in an AI-assisted editor, leveraging intelligent completion and code generation.
- 03
Code Review
Use AI tools to review code, surfacing potential issues and optimization suggestions.
- 04
Test Generation
Use AI to help generate unit tests and integration test cases.
- 05
Documentation
Use AI to generate code documentation, API references, and usage guides.
Common mistakes to avoid
These are typical pitfalls our editors hit when assembling similar tool chains — check against them before you start and save yourself rework:
- Asking AI to generate an entire project at once instead of module by module, making regressions costly
- Merging generated code without tests, letting risk accumulate
- Accepting completions blindly without reviewing dependencies and security impact