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Eli A
Eli A

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How to Effectively Use Claude Code to Build the Right Product

#ai #code #product #programming

Build the right product with product bet memo

Claude Code can build fast.

That is not the problem.

The problem is that fast coding can still build the wrong product.

A vague request like this:

Improve the onboarding flow.
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can produce clean code, nice UI, passing tests, and still miss the actual business goal.

Because Claude Code does not only need repository context.

It needs product context.

Not a 40-page PRD.
Not a strategy essay.
Not a giant prompt.

It needs a sharp brief that answers:

Who is this for?
What product outcome matters?
What is in scope?
What is explicitly out of scope?
How do we know this change worked?
What should Claude avoid “helpfully” adding?
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That is the difference between AI-assisted coding and product-centric AI coding.

The dangerous default: “make it better”

Claude Code is strong enough to turn vague ambition into code.

That is exactly why you need discipline.

If you ask:

Make the customer dashboard better.
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Claude may add filters, cards, charts, empty states, settings, exports, summary blocks, or layout changes.

Some of that may be good.

Some of it may be product bloat.

A better request is:

Improve the dashboard so a restaurant manager can identify which three menu items caused the biggest margin drop this week.

Do not redesign the dashboard.
Do not add new analytics categories.
Do not add export features.
Do not change navigation.
Focus only on the weekly margin insight.
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Now Claude has a product target.

Not just a coding task.

Start with CLAUDE.md, but do not overload it

For Claude Code, CLAUDE.md is the durable instruction file.

Use it for stable project guidance:

# CLAUDE.md

## Commands
- Install: `pnpm install`
- Dev: `pnpm dev`
- Test: `pnpm test`
- Lint: `pnpm lint`

## Coding rules
- Keep diffs small and reviewable.
- Prefer existing components before creating new ones.
- Do not introduce new dependencies without asking.
- Do not change database schema unless explicitly requested.

## Workflow
- For non-trivial work, propose a plan before editing.
- Explain tradeoffs before changing architecture.
- Run relevant tests before final response.
- Summarize changed files and remaining risks.
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Keep this file stable.

It should not become a dumping ground for every temporary product decision.

The rule is simple:

CLAUDE.md = how Claude should work in this repo.
Task brief = what Claude should build right now.
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If you use AGENTS.md, import it correctly

If your repo already has AGENTS.md, do not duplicate the same instructions.

Create a CLAUDE.md that imports it:

# CLAUDE.md

@AGENTS.md

## Claude Code-specific rules
- Use plan mode before changing architecture.
- Ask before running destructive commands.
- Prefer minimal diffs over broad rewrites.
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That gives you shared agent instructions plus Claude-specific behavior.

But again, this is still not enough.

The repo can be perfectly documented and Claude can still build the wrong product slice.

Add a product brief for every meaningful task

Before asking Claude to build, create a short task brief.

Use a neutral file name:

TASK_BRIEF.md
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Example:

# TASK_BRIEF.md

## Product outcome
Help a returning customer complete a booking in fewer steps.

## User
A repeat customer booking a routine appointment from mobile.

## Current problem
The current flow asks for account details too early and causes drop-off before time selection.

## Scope
- Move time selection earlier in the flow.
- Keep contact confirmation after time selection.
- Preserve the current visual system.
- Improve mobile clarity.

## Non-goals
- No payments.
- No admin scheduling tools.
- No calendar integration.
- No redesign of the whole booking page.
- No new account system.

## Success criteria
- Returning customer can choose service, time, and confirm contact details.
- Form errors are clear.
- The flow works on mobile.
- Existing tests still pass.
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This is not a feature spec.

It is a product boundary.

It tells Claude what “better” means.

Prompt Claude like a product reviewer, not a code generator

Do not start with:

Read the brief and implement it.
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That skips the most valuable step.

Start with:

Read CLAUDE.md and TASK_BRIEF.md.

Then inspect the current booking flow.

Before editing, respond with:
1. the user journey you think matters
2. the files you expect to touch
3. the smallest implementation plan
4. what you will not change
5. any unclear product decision

Do not write code until I approve the plan.
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This makes Claude show its product understanding before it edits files.

That is where you catch drift.

Not after the diff is already large.

Use non-goals aggressively

Non-goals are not optional.

They are the strongest defense against AI-generated bloat.

Bad non-goal:

Do not overcomplicate it.
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Good non-goals:

## Non-goals

- Do not add payments.
- Do not add team accounts.
- Do not add analytics.
- Do not change navigation.
- Do not modify unrelated routes.
- Do not introduce new dependencies.
- Do not create a new design system.
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Claude Code is often helpful enough to fill gaps.

Non-goals tell it where helpfulness becomes damage.

Write acceptance checks before implementation

Claude should know how the change will be judged.

Create:

ACCEPTANCE_CHECKS.md
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Example:

# ACCEPTANCE_CHECKS.md

## Product behavior
- A returning customer can complete the booking flow from mobile.
- The service/time choice is visible before contact confirmation.
- The user is never asked to create an account during the flow.

## Engineering behavior
- Existing tests pass.
- No unrelated files are changed.
- No new dependencies are added.
- The diff can be reviewed in one pass.

## Review notes
- List anything intentionally left out.
- List any product assumption that remains unvalidated.
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That last line is important.

Claude Code should not only report what it built.

It should report what is still uncertain.

Use .claude/rules for scoped technical rules

For larger projects, avoid stuffing everything into CLAUDE.md.

Use path-specific rules.

Example:

.claude/
  rules/
    frontend.md
    api.md
    tests.md
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Frontend rule:

---
paths:
  - "src/components/**/*.tsx"
  - "src/app/**/*.tsx"
---

# Frontend rules

- Reuse existing components before creating new ones.
- Keep accessibility attributes intact.
- Do not introduce inline styles.
- Preserve responsive behavior.
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API rule:

---
paths:
  - "src/api/**/*.ts"
  - "src/server/**/*.ts"
---

# API rules

- Validate inputs at the boundary.
- Return typed errors.
- Do not log secrets.
- Keep handlers small.
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This keeps Claude’s context cleaner.

Claude gets the rules that matter for the files it is touching.

Separate product judgment from technical enforcement

Memory files guide Claude.

They do not enforce behavior.

If something must never happen, use actual enforcement:

permissions
settings
hooks
CI checks
tests
code review
branch protection
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Use CLAUDE.md for guidance.

Use tooling for guardrails.

For example:

Guidance:
"Do not introduce new dependencies without asking."

Enforcement:
CI fails if package files change without approval.
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That distinction saves pain.

The product-centric Claude Code loop

Use this loop for meaningful product work:

1. Write the product outcome.
2. Define the user journey.
3. Name non-goals.
4. Write acceptance checks.
5. Ask Claude for a plan.
6. Approve or correct the plan.
7. Let Claude implement the smallest useful slice.
8. Review against product intent, not only tests.
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The key is step eight.

A passing test does not prove the product decision was right.

It only proves the code did what the test expected.

A better file set

For serious Claude Code work, use this structure:

CLAUDE.md
Durable project instructions.

.claude/rules/
Scoped technical rules.

TASK_BRIEF.md
Current product outcome, user, scope, non-goals.

ACCEPTANCE_CHECKS.md
Product and engineering checks for this slice.
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This is enough for most teams.

Do not start with a huge agent operating manual.

Start with clean context.

The missing upstream step

There is still one question this workflow cannot answer by itself:

Is this the right product slice to build?
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Claude Code can help implement a slice.

It should not be responsible for deciding whether the slice is strategically correct.

That decision should come from product work before coding:

idea validation
market intelligence
buyer clarity
strategy
roadmap sequencing
execution plan
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This is where Gaplyze fits into the workflow. A founder or team can use Gaplyze to turn a validated product bet into an AI-native prompt pack, then bring that focused context into Claude Code instead of starting from a vague “build this app” prompt.

The better chain is:

validated product bet
→ strategy
→ execution roadmap
→ prompt pack
→ Claude Code implementation
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Not:

idea
→ Claude Code
→ hope
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The rule

Claude Code is not just a faster way to write code.

It is a sharper instrument.

But sharp instruments need a steady hand.

If you give Claude only repository instructions, it may build correctly.

If you give Claude product context, non-goals, and acceptance checks, it is much more likely to build the right thing.

That is the point.

Do not use Claude Code to generate more product-shaped software.

Use it to execute a product decision you have already made carefully.

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