Integration Testing Discipline

The Core Principle

OBSERVE FIRST. FIX IN BATCHES. NEVER FIX DURING ACTIVE E2E RUNS.

When running integration tests or E2E validation, your job is to CAPTURE ALL failures first, then fix them systematically. Making code changes during a running test invalidates that test run.

The Four Principles

Principle 1: Don't Fix During Observation Runs

DO: Let the E2E run complete (or fail with a real error), capture ALL failure points, then fix everything as a coordinated batch.

DON'T: See one failure, fix it immediately, and continue the same E2E run.

Why: Code changes during E2E runs invalidate the running test. You lose the ability to trust that run's results.

Example:

❌ WRONG:
1. E2E run finds validation error
2. Fix validation immediately  
3. Continue same E2E run
4. Find auth error
5. Fix auth immediately
6. Continue same E2E run
→ Result: Can't trust this run's success

✅ RIGHT:
1. E2E run finds validation error — RECORD IT
2. E2E run finds auth error — RECORD IT  
3. E2E run completes — STOP OBSERVING
4. Fix validation AND auth as a batch
5. Start fresh E2E run to validate fixes
→ Result: Clean validation of coordinated fixes

Principle 2: Long-Running Processes Are Normal

DO: Check for actual error signals: non-zero exit codes, error messages in logs, process death, hung processes.

DON'T: Declare "stuck" or "failed" based on wall clock time alone.

Expected Durations:

• Container setup: 60-90 seconds
• Simple spec (1 endpoint): ~13 minutes
• Medium spec (4 CRUD endpoints): ~25 minutes
• Complex spec (8+ endpoints): ~40 minutes
• Each convergence iteration: 5-8 minutes

Example:

❌ WRONG:
"Process has been running 20 minutes with no output — it's stuck"

✅ RIGHT:
"Process has been running 20 minutes. Checking:
- Exit code: still running (0)
- Error logs: none
- New files: tracker.json updated 30s ago
- Container: process alive, making progress
→ Status: WORKING, not stuck"

Principle 3: Check Container State Directly

DO: Use docker exec to check the container's internal state directly when monitoring seems inconsistent.

DON'T: Trust API status or monitor reports when they contradict expected behavior.

Why: Monitor APIs may lag behind container reality. Always verify directly.

Example:

❌ WRONG:
"API shows no progress for 10 minutes — declaring failure"

✅ RIGHT:
"API shows no progress. Checking container directly:
$ docker exec container-name ls -la /workspace/
$ docker exec container-name cat tracker.json  
$ docker exec container-name ps aux
→ Found: New files created 2 min ago, process active
→ Status: API lag, not failure"

Principle 4: One Run, All Errors

DO: Let each run discover its full set of failures, then address them in dependency order.

DON'T: Fix errors one-by-one across multiple runs when you could batch them.

Why: Many failures have dependency relationships. Fixing in random order creates thrashing.

Example:

❌ WRONG:
Run 1: Find validation error → fix → new run
Run 2: Find auth error → fix → new run  
Run 3: Find storage error → fix → new run
→ Result: 3 full E2E cycles for related issues

✅ RIGHT:
Run 1: Find validation + auth + storage errors → RECORD ALL
Fix: Address validation first (dependency), then auth, then storage
Run 2: Validate all fixes together
→ Result: 1 observation run + 1 validation run

When to Apply

Use this discipline for ANY integration testing scenario:

• E2E recipe validation
• Multi-service integration tests
• Container-based testing workflows
• Cross-repo change validation
• Production deployment validation

Use ESPECIALLY when under time pressure — the temptation to "quick fix" during observation runs is highest when deadlines loom, but disciplined observation is fastest.

Red Flags — Return to Observation Mode

If you catch yourself thinking:

• "Just fix this one thing and continue the run"
• "Quick patch while the E2E is running"
• "I'll fix this now and the rest later"
• "This failure is blocking — fix immediately"
• "We're so close, just one more fix"

ALL of these mean: STOP fixing. Return to pure observation mode.

Impact

• Disciplined approach: 1 observation run + 1 validation run = ~50 minutes total
• Fix-during-run approach: 6+ interrupted runs = 3+ hours total
• Success rate: 95% vs 60%
• Stress level: Manageable vs high