Definition of Done (DoD): Engineering for Vibe Coders
Vibe coding makes it easy to generate working functionality quickly.
You prompt the AI, the feature appears, and the app seems to work.
So it feels done.
But then:
- Bugs appear in edge cases
- Logging is missing
- Documentation does not exist
- Tests were never written
- The feature breaks another workflow
The problem is not the feature.
The problem is that “working” was mistaken for “done.”
This is why Definition of Done matters.
1. What Definition of Done actually means
Definition of Done is a shared understanding of what must be true before work is considered complete.
It is not just:
- “The code runs”
- “The UI looks correct”
- “The API returns data”
A proper Definition of Done includes things like:
- Testing
- Error handling
- Documentation
- Logging
- Validation
- Review
It defines the minimum quality standard for completion.
🟢 Pre-prototype habit:
Before starting a task, define what “done” actually means beyond functionality.
2. Why vibe-coded systems struggle with DoD
AI-generated workflows optimize for:
- Producing output quickly
- Solving the immediate request
- Making the feature appear functional
What gets skipped:
- Non-functional requirements
- Operational concerns
- Long term maintainability
This creates systems where:
- Features work temporarily
- Quality varies between components
- Important supporting work is forgotten
🟢 Pre-prototype habit:
Treat generated code as the beginning of the task, not the end of it.
3. “Works on my machine” is not done
A feature that works in one environment is not necessarily complete.
Questions that often go unasked:
- Does it handle errors correctly?
- Does it work with real data?
- Is it observable in production?
- Is it understandable to others?
Without these checks:
- Issues appear after deployment
- Debugging becomes harder
- Confidence decreases
🟢 Pre-prototype habit:
Verify behavior outside the ideal development scenario before considering work complete.
4. Definition of Done creates consistency
Without a DoD:
- Every task has a different quality level
- Important steps are forgotten
- Teams make different assumptions
A DoD creates repeatable standards.
Benefits:
- Predictable quality
- Fewer missed steps
- Easier collaboration
🟢 Pre-prototype habit:
Use the same completion standards across all tasks whenever possible.
5. Operational readiness is part of done
Many systems fail after deployment because operational concerns were ignored.
Examples:
- No monitoring
- Missing logging
- Weak error handling
- No rollback plan
The feature works, but the system is not supportable.
🟢 Pre-prototype habit:
Include observability and operational readiness in your Definition of Done.
6. Definition of Done for AI systems
AI features introduce additional considerations:
- Output variability
- Prompt versioning
- Fallback handling
- Evaluation criteria
Without these:
- AI behavior becomes unpredictable
- Changes are difficult to evaluate
- Production debugging becomes harder
🟢 Pre-prototype habit:
Define how AI outputs will be validated and monitored before deployment.
7. Documentation and maintainability
A feature is not truly done if nobody understands it later.
Missing documentation leads to:
- Knowledge loss
- Slower onboarding
- Riskier future changes
Documentation does not need to be large.
It needs to preserve context.
🟢 Pre-prototype habit:
Capture enough context so future changes can be made safely.
8. Hidden edge cases
Common gaps in “done” definitions:
- Security validation skipped
- Edge cases untested
- Dependencies undocumented
- Performance ignored
These issues often appear later under real usage.
🟢 Pre-prototype habit:
Review what could fail after deployment, not just what works during development.
9. Quick pre-prototype checklist
| Checklist Item | Why It Matters |
|---|---|
| Define completion criteria early | Prevents ambiguous quality standards |
| Include testing and validation | Improves reliability |
| Verify operational readiness | Supports production stability |
| Add logging and monitoring | Improves supportability |
| Document important context | Preserves maintainability |
| Review edge cases | Reduces future failures |
Closing note
Definition of Done is not about slowing development down.
It is about making sure completed work is actually complete.
For vibe coders, fast iteration makes this especially important. Without clear standards, systems accumulate hidden gaps over time.
🟢 Pre-prototype habit:
Before starting work, define what must exist for the task to be truly finished. That definition will shape the quality of everything you build.
See the full list of free resources for vibe coders!
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