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.
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
01
Restate the goal of “Repository Design Decisions and Anti Patterns” as one observable behavior. Write the success signal before touching code.
02
Trace the boundary map: credentials/session → token → verification → trusted identity → protected operation. 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: 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.
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
Installing app-only dependencies at workspace root
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
What problem does Repository Design Decisions and Anti Patterns solve in TaskFlow, and what would be observably wrong without it?
Which part of the authentication 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
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.