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Best Practices and Common Pitfalls

Best Practices and Common Pitfalls

Lessons learned from production SDD

These best practices are distilled from real-world SDD adoption across teams ranging from solo developers to enterprise engineering organizations.

Best Practices

Break Work into Small Iterations

Never ask AI to build an entire application at once. Break work into tasks completable in 15-30 minutes of AI generation. Each iteration: generate, review, test, commit.

Commit After Every Verified Change

Version control is your safety net. After each task is implemented, tested, and reviewed, commit immediately with a message referencing the task.

Keep Specs and Code in Sync

When you change the spec, regenerate affected code. When code reveals a spec gap, update the spec. The spec is always the source of truth.

Review AI Output Like a Junior Developer's Code

AI-generated code is competent but imperfect. Review it with the same rigor you would apply to a junior developer's pull request. Trust but verify.

Use Context Files Religiously

Every project gets a CLAUDE.md or equivalent. Update it when standards change. The 10 minutes you spend maintaining it saves hours of re-explaining.

Common Pitfalls

The Mega-Prompt Trap

Trying to generate an entire application from one massive prompt. Even with a perfect spec, large generation requests produce inconsistent results. Break it down.

Spec Rot

Writing a spec once and never updating it. As the project evolves, the spec must evolve too. Stale specs lead to drift between intent and implementation.

Skipping the Review

Accepting AI output without reading it because 'it compiles'. AI code often has subtle logic errors, security issues, or performance problems that only human review catches.

Over-Specifying Implementation

Dictating exact class names, function signatures, or database schemas in the spec. This removes AI's ability to find optimal solutions. Specify behavior, not structure.

No Testing Strategy

Generating code without a testing plan. AI-generated code needs MORE testing than hand-written code because the developer did not write it line by line.

The SDD Maturity Checklist

PracticeBeginnerIntermediateAdvanced
Spec formatInformal notesStructured markdownTemplated with CI
Context filesNoneBasic CLAUDE.mdMulti-file with roles
Task granularityWhole featuresSub-features15-min increments
TestingManualSome automatedFull TDD cycle
Review processGlance at outputRead all codeSpec + code review
Version controlOccasional commitsPer-task commitsConventional commits

Your SDD Launch Checklist

Create a CLAUDE.md or equivalent context file for your project
Write a requirements.md with user stories and acceptance criteria
Break the first feature into 3-5 small tasks
Implement one task at a time: generate, review, test, commit
After each session, update the context file with new decisions
Review the spec weekly — does it still match the code?
Measure: track time from spec to working feature

Final Thought

SDD is a skill that improves with practice. Your first spec will be imperfect. Your first task breakdown will be too coarse. That is expected. The methodology rewards iteration — each cycle teaches you to write better specs, create tighter tasks, and review more effectively. Start today, improve tomorrow.

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