Phase 02 · Lesson 09

Repository Design Decisions and Anti Patterns

≈ 3 min core reading · 662 source/companion words
Learning contract

What you should be able to do after this

  • Explain Repository Design Decisions and Anti Patterns without relying on framework buzzwords.
  • Connect the lesson to the phase outcome: Create a pnpm monorepo whose boundaries, scripts, shared configuration, and dependency ownership are understandable before feature code grows.
  • Reproduce the relevant behavior and verify it with evidence.
  • Diagnose at least one representative failure instead of guessing.
Figure 2.9 — TaskFlow boundary map
Repository root
pnpm-workspace.yaml
apps/*
packages/*
workspace dependencies
root scripts
Turbo/task graph
This lesson belongs to Phase 02. 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.

Phase 02

Repository Design Decisions & Anti-Patterns Why the TaskFlow root stays boring, which abstractions we rejected, and the evidence that would justify adding them later.

Book 9 - Architecture decisions

Course baseline: September 17, 2026 - Windows-first - Project-driven - Production-oriented

Repository Design Decisions and Anti-Patterns The strongest repository architecture is usually the one with the fewest unexplained moving parts. This book records the decisions Phase 02 made, the alternatives we rejected, and the signals that would justify changing those decisions later.

Decision 1 - One monorepo for web and API Choice Why now Revisit when...

One Git repository The applications form one product and access, compliance, ownership or change together release boundaries become truly independent

pnpm workspace Built-in multi-package management already a future orchestrator must solve solves our current problem measurable task-graph/caching pain

One shared lockfile Consistent resolution and easier review almost never for this single-product workspace without a concrete reason

Decision 2 - Keep the root boring The root is policy and orchestration. A root package that accumulates React, NestJS, database libraries and application utilities has erased the very ownership boundaries the monorepo was meant to clarify.

Smell If you cannot tell whether a dependency is frontend, backend, or repository tooling because everything is installed at the root, the package boundaries are already failing.

Decision 3 - Do not create packages before reuse exists A folder named shared is not architecture. A shared package earns its existence when it owns one coherent responsibility that at least two consumers need and when keeping duplicate implementations would create real drift or risk.

Good future package candidate A validators package can become reasonable after web and API both need the same task input schema and we intentionally want one authoritative contract.

Weak package candidate A utils package that collects unrelated date helpers, string functions, API wrappers and business rules becomes a dependency magnet. Prefer colocating helpers with the feature or responsibility they support until a coherent reusable package emerges.

Anti-pattern - the prebuilt enterprise tree packages/ common/ core/ domain/ infrastructure/ shared/ utils/ types/ config/

The problem is not the names themselves. The problem is creating them before the system contains responsibilities that require those boundaries. Empty architecture makes navigation harder while teaching nothing about why the abstraction exists.

Anti-pattern - framework dependencies at root taskflow/package.json react next @nestjs/core prisma @prisma/client

This makes the root look convenient while hiding which app truly depends on each technology. The correct default is package ownership: frontend libraries in apps/web, backend/database libraries in apps/api initially.

Anti-pattern - multiple nested repositories Running git init inside apps/web or apps/api creates independent histories unless intentionally using submodules or another advanced strategy. That would undermine the course monorepo model. One .git directory at taskflow/ is the expected state.

Anti-pattern - generated files without review Framework generators are useful, but generated output is still your codebase. Starting in Phase 03, every generator step must be followed by tree inspection and Git diff review before the generated code is accepted.

How architecture should evolve

Observed need problem first Smallest option implement/test Verify benefit

no clear gain repeated pressure

Keep simple Earn abstraction

Figure 1 - Abstractions are responses to evidence, not decorations chosen in advance

Decision record for future phases • Phase 03 creates apps/web and lets Next.js own frontend dependencies. • Phase 04 creates apps/api and lets NestJS/Fastify own backend dependencies. • Prisma remains inside apps/api when introduced; no packages/db is created by default. • A shared validators package is considered only when real cross-app schema reuse appears. • Turborepo is considered only when pnpm orchestration becomes measurably insufficient. • Deployment remains independent per app even though source history is shared.

Engineering checkpoint A clean Phase 02 repository is intentionally unimpressive to look at. That is a strength. Every file at the root has a concrete responsibility, and there is almost nothing to delete. The sophistication will come from working software and earned boundaries, not from an elaborate empty tree.

Volume 01 - Engineering Foundation

Executable lesson studio · authentication

Now turn the explanation into engineering skill.

Authentication answers who the request represents. Treating decoded or client-supplied identity as trusted is a security boundary failure.

By the end, you should be able to

  • Explain Repository Design Decisions and Anti Patterns in terms of concrete inputs, ownership, outputs, and evidence.
  • Implement or reproduce the smallest TaskFlow slice that demonstrates this authentication concept.
  • Diagnose one representative authentication failure using observable evidence instead of trial-and-error.
Figure 2.9B — Mental model
credentials/session
token
verification
trusted identity
protected operation
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 “Repository Design Decisions and Anti Patterns” as one observable behavior. Write the success signal before touching code.

  2. 02

    Trace the boundary map: credentials/session → token → verification → trusted identity → protected operation. 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: TaskFlow repository root with apps/web, apps/api, shared packages, workspace metadata, root scripts, and clean Git hygiene.. 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.

tsVerify, then construct trusted identity
const token = readBearerToken(request);
const claims = await verifier.verify(token);
request.user = {
  id: claims.sub,
  email: claims.email,
};

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. Installing app-only dependencies at workspace root
  2. Change one assumption in the authentication example—identity, input, configuration, ordering, connectivity, or state—and predict the exact symptom before running it.
SymptomInvestigation path
401 after login

Inspect whether a token exists, whether it is expired, which issuer/audience signed it, and what the API verifier expects.

Identity differs from UI

Trust only verified server claims; never repair identity by accepting a client-sent user id.

Closed-reference challenge

Can you transfer the idea?

Without copying the final source, create a second small scenario that applies “Repository Design Decisions and Anti Patterns” 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 Repository Design Decisions and Anti Patterns solve in TaskFlow, and what would be observably wrong without it?
  2. Which part of the authentication 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

Create web and API workspaces without copying node_modules between them.

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

Break it safely

Installing app-only dependencies at workspace root

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.