Phase 18 · Lesson 13

Guided Build Lab

≈ 3 min core reading · 644 source/companion words
Learning contract

What you should be able to do after this

  • Explain Guided Build Lab without relying on framework buzzwords.
  • Connect the lesson to the phase outcome: Make NestJS independently verify Supabase access tokens and attach trusted identity before protected handlers run.
  • Reproduce the relevant behavior and verify it with evidence.
  • Diagnose at least one representative failure instead of guessing.
Figure 18.13 — TaskFlow boundary map
Next.js session
Bearer access token
NestJS guard
Supabase/JWT verification
trusted request user
controller/service
This lesson belongs to Phase 18. 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.

Guided Build Lab — Phase 18: NestJS Authentication Guards

Purpose Make NestJS independently verify Supabase access tokens and attach trusted identity before protected handlers run.

Deliverable Authentication guard + verification service + current-user helper + protected /auth/me and task routes.

Before you touch the code Open the previous phase checkpoint, run the repository's verification commands, and make sure Git is clean. A guided lab is useful only when you know which change introduced a failure. Write down the current browser/API/database behavior you expect before modifying anything.

Architecture trace Next.js session -> Bearer access token -> NestJS guard -> Supabase/JWT verification -> trusted request user -> controller/service

Read this flow left to right, then right to left. For each arrow, say what data crosses the boundary, which side trusts the other, and what evidence would prove that this boundary works. This habit prevents framework APIs from becoming disconnected memorization.

Step 1 — Add Authorization: Bearer token handling in the API client without putting tokens in URLs/logs. Do the smallest version of this step first. After the change, stop and verify it before continuing. Use terminal output, HTTP responses, browser DevTools, tests, or database inspection depending on the boundary. If the result differs from your prediction, do not add more code; explain the mismatch and fix the earliest failing assumption.

Step 2 — Extract and validate the bearer scheme in a guard with clear missing/malformed behavior. Do the smallest version of this step first. After the change, stop and verify it before continuing. Use terminal output, HTTP responses, browser DevTools, tests, or database inspection depending on the boundary. If the result differs from your prediction, do not add more code; explain the mismatch and fix the earliest failing assumption.

Step 3 — Verify the token server-side using the supported Supabase/JWT verification path. Do the smallest version of this step first. After the change, stop and verify it before continuing. Use terminal output, HTTP responses, browser DevTools, tests, or database inspection depending on the boundary. If the result differs from your prediction, do not add more code; explain the mismatch and fix the earliest failing assumption.

Step 4 — Normalize verified claims into an application user identity object. Do the smallest version of this step first. After the change, stop and verify it before continuing. Use terminal output, HTTP responses, browser DevTools, tests, or database inspection depending on the boundary. If the result differs from your prediction, do not add more code; explain the mismatch and fix the earliest failing assumption.

Step 5 — Attach identity once and expose it through a typed decorator/helper rather than reparsing tokens in services. Do the smallest version of this step first. After the change, stop and verify it before continuing. Use terminal output, HTTP responses, browser DevTools, tests, or database inspection depending on the boundary. If the result differs from your prediction, do not add more code; explain the mismatch and fix the earliest failing assumption.

Step 6 — Protect /auth/me and one task endpoint; test valid, missing, malformed, expired, and wrong-project tokens. Do the smallest version of this step first. After the change, stop and verify it before continuing. Use terminal output, HTTP responses, browser DevTools, tests, or database inspection depending on the boundary. If the result differs from your prediction, do not add more code; explain the mismatch and fix the earliest failing assumption.

Checkpoint When the lab works, inspect git diff. Remove accidental debugging output and unrelated edits. Run type checking/tests/build commands relevant to this phase. Commit the checkpoint with a message that describes the capability added, not merely the files changed.

Explain-back Without looking at the lesson, explain why each layer in the architecture trace exists, what this phase added to TaskFlow, and what would break if the new responsibility were moved to the wrong layer. If you cannot explain the boundary, repeat the trace before moving on.

Executable lesson studio · ui

Now turn the explanation into engineering skill.

Guided Build Lab 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 Guided Build Lab in terms of concrete inputs, ownership, outputs, and evidence.
  • Implement or reproduce the smallest TaskFlow slice that demonstrates this ui concept.
  • Diagnose one representative ui failure using observable evidence instead of trial-and-error.
Figure 18.13B — Mental model
route data
UI state
component tree
interaction
accessible feedback
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

  1. 01

    Restate the goal of “Guided Build Lab” as one observable behavior. Write the success signal before touching code.

  2. 02

    Trace the boundary map: route data → UI state → component tree → interaction → accessible feedback. Mark the one boundary this lesson changes.

  3. 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.

  4. 04

    Implement the smallest vertical slice. Add one coherent change, run the narrowest verification command, and read the output before continuing.

  5. 05

    Connect the slice to TaskFlow’s phase artifact: Authentication guard + verification service + current-user helper + protected /auth/me and task routes.. Verify behavior from the outside as a user or API client would.

  6. 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.

  7. 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.

tsxModel non-happy states intentionally
if (query.isPending) return <TaskSkeleton />;
if (query.isError) return <TaskError retry={query.refetch} />;
if (!query.data.length) return <EmptyTasks />;
return <TaskTable tasks={query.data} />;

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

  1. Run the narrowest relevant command or request and require a clean exit/status.
  2. Inspect the boundary-specific evidence: terminal output, Network panel, database row/query plan, test report, container health, or deployment logs.
  3. 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

  1. Trusting userId from request body/query
  2. Change one assumption in the ui 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 “Guided Build Lab” 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

  1. What problem does Guided Build Lab solve in TaskFlow, and what would be observably wrong without it?
  2. Which part of the ui boundary owns the decision, and which neighboring layer must not own it?
  3. What evidence proves the happy path instead of merely suggesting it worked?
  4. Name one realistic failure or abuse case and the first place you would inspect.
  5. 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

Add Authorization: Bearer token handling in the API client without putting tokens in URLs/logs.

Use the smallest change that demonstrates this lesson. Stop after it works and capture evidence.
02

Break it safely

Trusting userId from request body/query

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.