Sdlc Research

SDLC Research Skill

This skill provides guidance for conducting effective codebase research during the SDLC research phase.

Overview

Research is the foundation of quality implementation. The goal is to deeply understand the codebase before writing any code, ensuring your implementation follows existing patterns and integrates seamlessly.

Research Methodology

Phase 1: Problem Understanding

Before exploring code, clarify what you're solving:

1. Parse the requirements - Extract the core need from the user story
2. Identify key terms - What domain concepts map to code elements?
3. Clarify scope - What IS being asked vs what is NOT being asked?

Phase 2: Codebase Exploration

Use a codebase-first approach:

1. Start at entry points - Find where similar features begin (CLI commands, API routes, event handlers)
2. Trace the data flow - Follow how data moves through the system
3. Identify boundaries - Where does your feature touch existing modules?
4. Find templates - Look for similar implementations to use as patterns

Phase 3: Pattern Recognition

Document patterns you discover:

• Naming conventions - How are files, functions, and variables named?
• Error handling - How do similar features handle errors?
• Testing patterns - How are similar features tested?
• Configuration - How are similar features configured?

Phase 4: Dependency Mapping

Map what your changes will affect:

• Direct dependencies - What does your code need to import?
• Reverse dependencies - What existing code might need to change?
• External dependencies - Any npm packages or APIs needed?

Phase 5: Knowledge Gap Documentation

Be explicit about uncertainties:

• What aspects need clarification from stakeholders?
• What existing code do you not fully understand?
• What alternative approaches might be worth considering?

Output Structure

When documenting research findings, organize them as:

Problem Summary

Restate the problem in your own words. What is the core goal?

Codebase Context

Describe relevant architecture, patterns, and existing implementations. Reference specific files and line numbers.

Files Requiring Changes

For each file that needs modification:

• Path: path/to/file.ts:42
• Change Type: Create New | Modify Existing | Delete
• Reason: Why this file needs to change
• Specific Changes: What aspects need modification
• Dependencies: What other changes must happen first

Testing Strategy

• Test Files to Modify: Existing test files that need updates
• New Tests Needed: New test files or test cases required
• Test Scenarios: Specific scenarios to cover

Additional Context

• Relevant patterns to follow
• Potential risks and breaking changes
• Performance considerations (if applicable)
• Security implications (if applicable)

Quality Checklist

Before completing research:

• Identified at least 3-5 relevant files in the codebase
• Referenced specific line numbers, not just file names
• Found existing patterns to follow for consistency
• Documented the change surface area (all affected files)
• Considered test coverage requirements
• Noted potential risks or breaking changes

Anti-Patterns to Avoid

1. Abstract research - Avoid vague statements like "the auth module handles this." Be specific: src/auth/middleware.ts:45 handles JWT validation.

2. Incomplete dependency mapping - Don't miss reverse dependencies. If you change an interface, find all implementers.

3. Skipping test analysis - Always include testing strategy. How are similar features tested?

4. Ignoring existing patterns - Don't reinvent. Find how similar features were built and follow the pattern.

5. Research without exploration - Actually read the code, don't just grep for keywords.

Tips for Effective Research

• Use specific file references - src/core/story.ts:42-65 not "the story module"
• Include code snippets - Show the relevant patterns you found
• Map the call chain - Entry point → Service → Repository → Database
• Document decisions - Why this approach over alternatives?
• Note tech debt - Flag any issues you discover along the way

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