Read plan.md and identify the next pending [ ] task. Select tasks in order within the current phase. Do not skip ahead to later phases. Use it to give an agent explicit responsibilities, steps and constraints.
workflow-patterns — detailed patterns and worked examples
Snapshot 2026-08-04 16:17:00 UTC · version 1
Research document
workflow-patterns — detailed patterns and worked examples
Read plan.md and identify the next pending [ ] task. Select tasks in order within the current phase. Do not skip ahead to later phases. Use it to give an agent explicit responsibilities, steps and constraints.
Editorial note: curated source snapshot published by Collider.club under the MIT License. Source attribution is preserved in the front matter.
Source snapshot
workflow-patterns — detailed patterns and worked examples
TDD Task Lifecycle
Follow these 11 steps for each task:
Step 1: Select Next Task
Read plan.md and identify the next pending [ ] task. Select tasks in order within the current phase. Do not skip ahead to later phases.
Step 2: Mark as In Progress
Update plan.md to mark the task as [~]:
- [~] **Task 2.1**: Implement user validation
Commit this status change separately from implementation.
Step 3: RED - Write Failing Tests
Write tests that define the expected behavior before writing implementation:
- Create test file if needed
- Write test cases covering happy path
- Write test cases covering edge cases
- Write test cases covering error conditions
- Run tests - they should FAIL
Example:
def test_validate_user_email_valid():
user = User(email="test@example.com")
assert user.validate_email() is True
def test_validate_user_email_invalid():
user = User(email="invalid")
assert user.validate_email() is False
Step 4: GREEN - Implement Minimum Code
Write the minimum code necessary to make tests pass:
- Focus on making tests green, not perfection
- Avoid premature optimization
- Keep implementation simple
- Run tests - they should PASS
Step 5: REFACTOR - Improve Clarity
With green tests, improve the code:
- Extract common patterns
- Improve naming
- Remove duplication
- Simplify logic
- Run tests after each change - they should remain GREEN
Step 6: Verify Coverage
Check test coverage meets the 80% target:
pytest --cov=module --cov-report=term-missing
If coverage is below 80%:
- Identify uncovered lines
- Add tests for missing paths
- Re-run coverage check
Step 7: Document Deviations
If implementation deviated from plan or introduced new dependencies:
- Update tech-stack.md with new dependencies
- Note deviations in plan.md task comments
- Update spec.md if requirements changed
Step 8: Commit Implementation
Create a focused commit for the task:
git add -A
git commit -m "feat(user): implement email validation
- Add validate_email method to User class
- Handle empty and malformed emails
- Add comprehensive test coverage
Task: 2.1
Track: user-auth_20250115"
Commit message format:
- Type: feat, fix, refactor, test, docs, chore
- Scope: affected module or component
- Summary: imperative, present tense
- Body: bullet points of changes
- Footer: task and track references
Step 9: Attach Git Notes
Add rich task summary as git note:
git notes add -m "Task 2.1: Implement user validation
Summary:
- Added email validation using regex pattern
- Handles edge cases: empty, no @, no domain
- Coverage: 94% on validation module
Files changed:
- src/models/user.py (modified)
- tests/test_user.py (modified)
Decisions:
- Used simple regex over email-validator library
- Reason: No external dependency for basic validation"
Step 10: Update Plan with SHA
Update plan.md to mark task complete with commit SHA:
- [x] **Task 2.1**: Implement user validation `abc1234`
Step 11: Commit Plan Update
Commit the plan status update:
git add conductor/tracks/*/plan.md
git commit -m "docs: update plan - task 2.1 complete
Track: user-auth_20250115"
Phase Completion Protocol
When all tasks in a phase are complete, execute the verification protocol:
Identify Changed Files
List all files modified since the last checkpoint:
git diff --name-only <last-checkpoint-sha>..HEAD
Ensure Test Coverage
For each modified file:
- Identify corresponding test file
- Verify tests exist for new/changed code
- Run coverage for modified modules
- Add tests if coverage < 80%
Run Full Test Suite
Execute complete test suite:
pytest -v --tb=short
All tests must pass before proceeding.
Generate Manual Verification Steps
Create checklist of manual verifications:
## Phase 1 Verification Checklist
- [ ] User can register with valid email
- [ ] Invalid email shows appropriate error
- [ ] Database stores user correctly
- [ ] API returns expected response codes
WAIT for User Approval
Present verification checklist to user:
Phase 1 complete. Please verify:
1. [ ] Test suite passes (automated)
2. [ ] Coverage meets target (automated)
3. [ ] Manual verification items (requires human)
Respond with 'approved' to continue, or note issues.
Do NOT proceed without explicit approval.
Create Checkpoint Commit
After approval, create checkpoint commit:
git add -A
git commit -m "checkpoint: phase 1 complete - user-auth_20250115
Verified:
- All tests passing
- Coverage: 87%
- Manual verification approved
Phase 1 tasks:
- [x] Task 1.1: Setup database schema
- [x] Task 1.2: Implement user model
- [x] Task 1.3: Add validation logic"
Record Checkpoint SHA
Update plan.md checkpoints table:
## Checkpoints
| Phase | Checkpoint SHA | Date | Status |
| ------- | -------------- | ---------- | -------- |
| Phase 1 | def5678 | 2025-01-15 | verified |
| Phase 2 | | | pending |
Quality Assurance Gates
Before marking any task complete, verify these gates:
Passing Tests
- All existing tests pass
- New tests pass
- No test regressions
Coverage >= 80%
- New code has 80%+ coverage
- Overall project coverage maintained
- Critical paths fully covered
Style Compliance
- Code follows style guides
- Linting passes
- Formatting correct
Documentation
- Public APIs documented
- Complex logic explained
- README updated if needed
Type Safety
- Type hints present (if applicable)
- Type checker passes
- No type: ignore without reason
No Linting Errors
- Zero linter errors
- Warnings addressed or justified
- Static analysis clean
Mobile Compatibility
If applicable:
- Responsive design verified
- Touch interactions work
- Performance acceptable
Security Audit
- No secrets in code
- Input validation present
- Authentication/authorization correct
- Dependencies vulnerability-free
Git Integration
Commit Message Format
<type>(<scope>): <subject>
<body>
<footer>
Types:
feat: New featurefix: Bug fixrefactor: Code change without feature/fixtest: Adding testsdocs: Documentationchore: Maintenance
Git Notes for Rich Summaries
Attach detailed notes to commits:
git notes add -m "<detailed summary>"
View notes:
git log --show-notes
Benefits:
- Preserves context without cluttering commit message
- Enables semantic queries across commits
- Supports track-based operations
SHA Recording in plan.md
Always record the commit SHA when completing tasks:
- [x] **Task 1.1**: Setup schema `abc1234`
- [x] **Task 1.2**: Add model `def5678`
This enables:
- Traceability from plan to code
- Semantic revert operations
- Progress auditing
Verification Checkpoints
Why Checkpoints Matter
Checkpoints create restore points for semantic reversion:
- Revert to end of any phase
- Maintain logical code state
- Enable safe experimentation
When to Create Checkpoints
Create checkpoint after:
- All phase tasks complete
- All phase verifications pass
- User approval received
Checkpoint Commit Content
Include in checkpoint commit:
- All uncommitted changes
- Updated plan.md
- Updated metadata.json
- Any documentation updates
How to Use Checkpoints
For reverting:
# Revert to end of Phase 1
git revert --no-commit <phase-2-commits>...
git commit -m "revert: rollback to phase 1 checkpoint"
For review:
# See what changed in Phase 2
git diff <phase-1-sha>..<phase-2-sha>
Handling Deviations
During implementation, deviations from the plan may occur. Handle them systematically:
Types of Deviations
Scope Addition Discovered requirement not in original spec.
- Document in spec.md as new requirement
- Add tasks to plan.md
- Note addition in task comments
Scope Reduction Feature deemed unnecessary during implementation.
- Mark tasks as
[-](skipped) with reason - Update spec.md scope section
- Document decision rationale
Technical Deviation Different implementation approach than planned.
- Note deviation in task completion comment
- Update tech-stack.md if dependencies changed
- Document why original approach was unsuitable
Requirement Change Understanding of requirement changes during work.
- Update spec.md with corrected requirement
- Adjust plan.md tasks if needed
- Re-verify acceptance criteria
Deviation Documentation Format
When completing a task with deviation:
- [x] **Task 2.1**: Implement validation `abc1234`
- DEVIATION: Used library instead of custom code
- Reason: Better edge case handling
- Impact: Added email-validator to dependencies
Error Recovery
Failed Tests After GREEN
If tests fail after reaching GREEN:
- Do NOT proceed to REFACTOR
- Identify which test started failing
- Check if refactoring broke something
- Revert to last known GREEN state
- Re-approach the implementation
Checkpoint Rejection
If user rejects a checkpoint:
- Note rejection reason in plan.md
- Create tasks to address issues
- Complete remediation tasks
- Request checkpoint approval again
Blocked by Dependency
If task cannot proceed:
- Mark task as
[!]with blocker description - Check if other tasks can proceed
- Document expected resolution timeline
- Consider creating dependency resolution track
TDD Variations by Task Type
Data Model Tasks
RED: Write test for model creation and validation
GREEN: Implement model class with fields
REFACTOR: Add computed properties, improve types
API Endpoint Tasks
RED: Write test for request/response contract
GREEN: Implement endpoint handler
REFACTOR: Extract validation, improve error handling
Integration Tasks
RED: Write test for component interaction
GREEN: Wire components together
REFACTOR: Improve error propagation, add logging
Refactoring Tasks
RED: Add characterization tests for current behavior
GREEN: Apply refactoring (tests should stay green)
REFACTOR: Clean up any introduced complexity
Working with Existing Tests
When modifying code with existing tests:
Extend, Don't Replace
- Keep existing tests passing
- Add new tests for new behavior
- Update tests only when requirements change
Test Migration
When refactoring changes test structure:
- Run existing tests (should pass)
- Add new tests for refactored code
- Migrate test cases to new structure
- Remove old tests only after new tests pass
Regression Prevention
After any change:
- Run full test suite
- Check for unexpected failures
- Investigate any new failures
- Fix regressions before proceeding
Checkpoint Verification Details
Automated Verification
Run before requesting approval:
# Test suite
pytest -v --tb=short
# Coverage
pytest --cov=src --cov-report=term-missing
# Linting
ruff check src/ tests/
# Type checking (if applicable)
mypy src/
Manual Verification Guidance
For manual items, provide specific instructions:
## Manual Verification Steps
### User Registration
1. Navigate to /register
2. Enter valid email: test@example.com
3. Enter password meeting requirements
4. Click Submit
5. Verify success message appears
6. Verify user appears in database
### Error Handling
1. Enter invalid email: "notanemail"
2. Verify error message shows
3. Verify form retains other entered data
Performance Considerations
Test Suite Performance
Keep test suite fast:
- Use fixtures to avoid redundant setup
- Mock slow external calls
- Run subset during development, full suite at checkpoints
Commit Performance
Keep commits atomic:
- One logical change per commit
- Complete thought, not work-in-progress
- Tests should pass after every commit
About Collider.club
This card belongs to the curated knowledge base of Collider.club — a closed business club for entrepreneurs, engineers, investors and domain experts building projects for international markets. Members work across DeFi, AI/ML, FinTech, Web3, banking, hardware and venture capital, and the club runs closed sessions on high-margin niches with anonymous speakers.
- Club: https://collider.club
- Collection: Collider.club curated card library (
mdrss-card/v2) - Maintainer: Collider.club editorial team
License
MIT License — Copyright (c) 2026 Collider.club. Full text: LICENSE · https://opensource.org/licenses/MIT
Why MDRSS assigned this score
- evidence comes from multiple domains
- some evidence URLs look like primary-source hosts
Evidence (4)
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