Explain Hands On Lab and Phase Exit without relying on framework buzzwords.
Connect the lesson to the phase outcome: Review and refactor TaskFlow architecture using evidence: dependency direction, duplication, tests, complexity, security, and operational boundaries.
Reproduce the relevant behavior and verify it with evidence.
Diagnose at least one representative failure instead of guessing.
Figure 35.12 — TaskFlow boundary map
observe architecture
→
identify smell/risk
→
establish tests
→
small refactor
→
verify behavior
→
document decision
This lesson belongs to Phase 35. Keep the full request/data path visible even when today's code changes only one box.
Instructor workflow: predict first → implement the smallest slice → run it → inspect evidence → break one assumption → diagnose → explain it back. Do not copy the whole code block before understanding the first failing boundary.
Hands-On Architecture Review Lab and Phase Exit
The lab produces concrete review artifacts for TaskFlow and prepares the final phase. The learner should finish with a
map, prioritized backlog, explicit dependency rules, and at least one safely completed refactor.
Lab 1 - inventory
• Draw the current Browser -> Next.js -> NestJS -> Repository -> Prisma -> PostgreSQL path.
• Add Auth, Storage, Realtime, CI/CD, and observability boundaries.
• For each boundary, write owner, public contract, and dependencies.
Lab 2 - score pressure points
• Choose five areas and classify: correctness risk, security risk, change frequency, test difficulty, operational pain.
• Do not rank by personal dislike of folder structure.
Lab 3 - execute one refactor
• Pick one P1/P2 item that can be changed safely.
• Add/confirm regression coverage before change.
• Refactor, run tests, smoke the relevant path, and inspect telemetry/log behavior.
Phase exit
• Architecture map matches current implementation.
• Dependency rules are explicit.
• Refactoring backlog is prioritized by evidence.
• Dead or misleading abstraction is removed or justified.
• At least one architecture decision is captured in an ADR.
Phase 35 is complete when TaskFlow is easier to explain and change - not when every file matches a textbook pattern.
Source basis: integrated TaskFlow architecture and engineering decisions established in Phases 00-34; this chapter is an internal
review/refactoring synthesis rather than a new framework feature.
Executable lesson studio · architecture
Now turn the explanation into engineering skill.
Hands On Lab and Phase Exit matters because it changes a real boundary in TaskFlow. The goal is to understand the inputs, owner, observable output, and failure modes before adding more abstraction.
By the end, you should be able to
Explain Hands On Lab and Phase Exit in terms of concrete inputs, ownership, outputs, and evidence.
Implement or reproduce the smallest TaskFlow slice that demonstrates this architecture concept.
Diagnose one representative architecture failure using observable evidence instead of trial-and-error.
Figure 35.12B — Mental model
User intent
→
UI boundary
→
API contract
→
business rule
→
persistence
→
observable result
Read left-to-right while implementing. When debugging, walk right-to-left until the first observed fact differs from your prediction.
Code-along sequence
One coherent change at a time
01
Restate the goal of “Hands On Lab and Phase Exit” as one observable behavior. Write the success signal before touching code.
02
Trace the boundary map: User intent → UI boundary → API contract → business rule → persistence → observable result. Mark the one boundary this lesson changes.
03
Inspect the current repository state and record the exact files, route, table, or runtime involved. Avoid creating an abstraction before you can name the existing owner.
04
Implement the smallest vertical slice. Add one coherent change, run the narrowest verification command, and read the output before continuing.
05
Connect the slice to TaskFlow’s phase artifact: Architecture review report plus one behavior-preserving refactor backed by tests and an ADR.. Verify behavior from the outside as a user or API client would.
06
Create one controlled failure that is safe to reproduce. Predict the symptom first, capture evidence, locate the earliest broken boundary, then fix only that cause.
07
Close the reference and rebuild or explain the core change from memory. Record what you would monitor or test before trusting the same change in production.
Do not copy this as a finished answer. Predict what each boundary does, type the smallest useful slice, run it, then compare the result with your prediction.
Verification
Prove the happy path
Run the narrowest relevant command or request and require a clean exit/status.
Inspect the boundary-specific evidence: terminal output, Network panel, database row/query plan, test report, container health, or deployment logs.
Repeat the behavior once after the change so a one-off cached or stale result cannot masquerade as success.
Break it on purpose
Build debugging memory
Confusing folder count with architecture quality
Change one assumption in the architecture example—identity, input, configuration, ordering, connectivity, or state—and predict the exact symptom before running it.
SymptomInvestigation path
Expected result does not appear
Return to the nearest observable boundary: input, network, process log, database, or rendered UI. Compare actual evidence with the predicted path.
A shortcut appears to fix it
Change one variable at a time and reproduce the original failure after the fix; otherwise you have correlation, not diagnosis.
Closed-reference challenge
Can you transfer the idea?
Without copying the final source, create a second small scenario that applies “Hands On Lab and Phase Exit” to a different TaskFlow resource or input. Write the acceptance criteria first, implement it, and provide the evidence that each criterion is satisfied.
Explain-back
Answer these without reopening the solution
What problem does Hands On Lab and Phase Exit solve in TaskFlow, and what would be observably wrong without it?
Which part of the architecture boundary owns the decision, and which neighboring layer must not own it?
What evidence proves the happy path instead of merely suggesting it worked?
Name one realistic failure or abuse case and the first place you would inspect.
If requirements doubled tomorrow, which part of this design should stay stable and which part is allowed to change?
Lesson studio
Turn the reading into skill
01
Do it
Write a short ADR recording context, decision, alternatives, consequences, and when to revisit.
Use the smallest change that demonstrates this lesson. Stop after it works and capture evidence.02
Break it safely
Confusing folder count with architecture quality
Predict the symptom before causing the failure. Then locate the earliest boundary where reality diverges from expectation.03
Explain it back
Why does this responsibility live here, what input does it trust, what output proves success, and what would go wrong if another layer owned it?
If your explanation is vague, repeat the boundary trace before moving on.
Exit ticket
Before marking complete
Close the reference. Reproduce the core idea from memory or explain the exact request/data flow aloud. Then check your diff or notes for accidental shortcuts that bypass validation, authorization, error handling, or verification earned in earlier phases.