Stacks / 7 workflow stages
Use AI on an Existing Codebase
Give the coding agent the right repository context, current docs, architecture references, and browser-level verification.
Best for
Developers using AI to make meaningful changes in an existing repository without letting the agent operate from shallow context.
Outcome
A coding workflow that understands the repository, retrieves current documentation, makes changes, reviews them, and verifies behavior.
Not for
A greenfield prototype where speed matters more than understanding an established architecture.
Use this as a decision framework, not a mandatory shopping list. Swap or skip layers based on your existing stack, constraints, and risk profile.
1. Choose the coding agent
Claude Code Docs
Start with a capable terminal-native coding workflow that can inspect and modify a real repository.
AlternativesCursor, OpenAI Codex, Aider
4. Pull current library docs
Context7
Give the agent current implementation documentation instead of relying on model memory for fast-changing libraries.
AlternativesPostman Public API Network
5. Follow agent coding practices
Claude Code Best Practices
Use explicit patterns for context, delegation, verification, and long-running coding work rather than prompting ad hoc.
AlternativesCursor Agent Best Practices
6. Review the change
Code Review Plugin
Add a deliberate review pass so generated changes are challenged before they are accepted.
AlternativesRefactoring.Guru, Patterns.dev
7. Verify in the browser
Playwright
Test real user flows and rendered behavior instead of treating a successful build as proof the feature works.
AlternativesChrome DevTools Plugin
Need this workflow built and running, not just linked? EE Solutions implements agentic stacks like this one. EE Solutions is a senior technology team for private capital firms and their portfolio companies.
Talk to EE Solutions ↗