Stacks / 7 workflow stages · v3.1.0 · reviewed 2026-09-05
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.
Operator guidance
Best whenThe repository has tests and review gates the coding agent can run.
Avoid whenThe task lacks a reproducible issue, ownership boundaries, or a safe verification path.
CompatibilityExpose repository conventions, current dependency docs, and the same checks used in CI; isolate agent changes in branches or worktrees.
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
Start with a capable terminal-native coding workflow that can inspect and modify a real repository.
- Cursor
Recommendation details
Why: Consider Cursor as an alternative for 1. Choose the coding agent; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Popular AI-native code editor. Useful for comparing agent UX, workflows and rules.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Cursor official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
- OpenAI Codex
Recommendation details
Why: Consider OpenAI Codex as an alternative for 1. Choose the coding agent; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Open-source terminal coding agent; useful for comparing agent workflows and implementation patterns.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: OpenAI Codex official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
- Aider
Recommendation details
Why: Consider Aider as an alternative for 1. Choose the coding agent; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Terminal pair-programming tool with mature Git-oriented workflows.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Aider official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Official Claude Code documentation.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Claude Code Docs official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
2. Package repository context
Create a compact representation of a repository when you need to reason across files or share codebase context cleanly.
- Gitingest
Recommendation details
Why: Consider Gitingest as an alternative for 2. Package repository context; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Turn a GitHub repository into a prompt-friendly text digest in seconds.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Gitingest official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Pack an entire repo into AI-friendly context, with token counting, compression and secret scanning.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Repomix official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
3. Understand unfamiliar code
Use generated repository documentation and structure to orient the agent before large or architectural changes.
- grep.app
Recommendation details
Why: Consider grep.app as an alternative for 3. Understand unfamiliar code; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Search real code across public GitHub repositories to find how libraries and patterns are actually used.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: grep.app official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Instant conversational documentation for public GitHub repositories. Excellent for unfamiliar codebases.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: DeepWiki official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
4. Pull current library docs
Give the agent current implementation documentation instead of relying on model memory for fast-changing libraries.
- Postman Public API Network
Recommendation details
Why: Consider Postman Public API Network as an alternative for 4. Pull current library docs; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Large collection of public API workspaces and documentation Claude can inspect for integrations.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Postman Public API Network official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Fresh library documentation for coding agents.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Context7 official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
5. Follow agent coding practices
Use explicit patterns for context, delegation, verification, and long-running coding work rather than prompting ad hoc.
- Cursor Agent Best Practices
Recommendation details
Why: Consider Cursor Agent Best Practices as an alternative for 5. Follow agent coding practices; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Strong practical guidance for working with coding agents; many patterns transfer directly to Claude Code.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Cursor Agent Best Practices official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Anthropic's practical coding-agent workflow guidance.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Claude Code Best Practices official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
6. Review the change
Add a deliberate review pass so generated changes are challenged before they are accepted.
- Refactoring.Guru
Recommendation details
Why: Consider Refactoring.Guru as an alternative for 6. Review the change; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Exceptionally clear reference for design patterns, SOLID and refactoring techniques.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Refactoring.Guru official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
- Patterns.dev
Recommendation details
Why: Consider Patterns.dev as an alternative for 6. Review the change; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Modern JavaScript, React and web-performance patterns with concrete examples.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Patterns.dev official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Anthropic-verified multi-agent pull-request review with confidence filtering.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Code Review Plugin official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
7. Verify in the browser
Test real user flows and rendered behavior instead of treating a successful build as proof the feature works.
- Chrome DevTools Plugin
Recommendation details
Why: Consider Chrome DevTools Plugin as an alternative for 7. Verify in the browser; compare its documented capabilities and operating constraints with the primary recommendation.
Best when: Give Claude DevTools-level access to performance traces, network requests and live browser debugging.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Chrome DevTools Plugin official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Recommendation details
Best when: Reliable browser automation Claude can operate through code.
Avoid when: Avoid when the current official source does not support your required deployment, data-handling, or integration constraints.
Compatibility: Validate interfaces, data formats, and operational handoffs with the adjacent stack stages.
Prerequisites:
- Review the current official source and implementation requirements.
Evidence: Playwright official source (2026-09-05)
Verified 2026-09-05 · Medium confidence
Implementation references
-
OpenAI Codex Workflows ↗
Practical workflows for supplying context, reproducing defects, planning changes, and verifying results.
developers.openai.com · documentation
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 ↗