Yes. Here is the same summary with all references like “transcript.txt” or “file:1” removed and no file/link mentions.
1. Course Goal and Project Overview
- Build a production‑ready currency converter API using Claude Code.
- Stack: TypeScript, Cloudflare Workers, Wrangler CLI, GitHub, GitHub Actions, DeepWiki MCP.
- Target workflow:
- AI‑assisted project scaffolding and coding.
- PRD‑driven implementation.
- Tests (unit + integration).
- Git version control and PRs.
- CI (tests on PRs and main).
- CD (deploy to Cloudflare Workers with smoke tests).
2. Setting Up Claude Code and MCP
2.1 Install and Verify Claude Code
- In an empty project directory in VS Code:
- Install globally:
npm install -g anthropic-ai-cloud-code. - Verify with
cloudin the terminal, confirm version and trust the folder if prompted.
- Install globally:
2.2 Configure MCP Server (DeepWiki)
- Create
.mcp.jsonin the project root:- Top‑level key
mcpServers. - Add server
DeepWikiwith:type: HTTP.url: DeepWiki MCP endpoint.
- Top‑level key
- Run
cloud:- Claude detects the new MCP server.
- Choose to trust it for all future MCP servers so new ones are auto‑enabled.
- Test MCP:
- Use
/mcpcommand and confirm DeepWiki shows as connected.
- Use
2.3 Create cloud.md (Claude’s Entry File)
cloud.mdis always read by Claude Code when working in the repo.- Contents (core points):
- Overview: currency converter API that reads conversion rates from a CSV; runs locally and on Cloudflare Workers.
- Technologies: TypeScript, Cloudflare Workers, Wrangler CLI.
- Development rule:
- Before implementing, Claude should use DeepWiki’s
askQuestiontool to get latest library information.
- Before implementing, Claude should use DeepWiki’s
- Preference:
- Use
askQuestioninstead of a bulk “read whole wiki” style tool to keep responses small and focused.
- Use
2.4 Voice Dictation Workflow
- Instructor uses a dictation tool (e.g., Voice Ink) to speak text for
cloud.mdand prompts. - Principle: talking is faster than typing; any dictation tool or plain typing works.
3. Using Plan Mode to Scaffold the Project
3.1 Modes in Claude Code
- Accept mode: Claude directly edits files.
- Plan mode: Claude first proposes a detailed plan, you review/adjust, then auto‑apply.
- Toggle using
Shift+Tab:- One toggle: “accept edits”.
- Next toggle: “plan mode”.
3.2 Initial “Hello World” API
- In plan mode, you prompt something intentionally vague:
- “Help me set up the project with a Hello World HTTP GET API.”
- Claude:
- Reads
cloud.mdand project state. - Asks clarifying questions:
- Framework choice (Node/Express vs Cloudflare Workers, HONO vs native).
- Package manager choice (npm, yarn, pnpm).
- You:
- Choose Cloudflare Workers via Wrangler.
- Ask Claude to decide package manager using DeepWiki and Wrangler docs.
- Reads
3.3 Tool Permissions and Settings
- You get permission prompts for actions:
- Permit once (safer for git and destructive commands).
- Permit always (reasonable for safe commands).
- Examples:
- Allow
bash findpermanently → Claude records insettings.local.json. - Allow unlimited DeepWiki
askQuestioncalls so it doesn’t keep asking.
- Allow
3.4 Generated Plan for Scaffolding
Plan summary:
- Use TypeScript and Cloudflare Workers.
- Use npm as package manager.
Steps:
- Initialize
package.jsonand npm scripts. - Configure TypeScript via
tsconfig.json. - Configure
wrangler.toml. - Create structure:
src/index.ts.gitignorepackage.jsontsconfig.jsonwrangler.toml
- Implement endpoints in
src/index.ts:GET /→ Hello World JSON with timestamp.GET /health→ health check.- Default 404 handler.
- Install dependencies.
- Start local dev server (
npm run dev). - Test endpoints via curl or browser.
- Skip Cloudflare deployment for now (you explicitly request this).
- Initialize
Execution:
- You approve plan with auto‑accept edits.
- Claude:
- Writes files.
- Starts dev server.
- Detects issues, fixes them, restarts dev server as needed.
- Calls endpoints and verifies responses.
Guidance:
- Plan mode: use when approach is unclear or you want high‑level design.
- Accept mode: use when you already know what you want and just need code.
4. Data Source and PRD for Currency Conversion
4.1 Exchange Rate Data
- Source: U.S. Treasury Fiscal Data (official exchange rates).
- Download CSV containing:
record_datecountrycurrencydescriptionexchange_ratefrom USD to target currencyeffective_dateiso_code(added manually) of target currency such as CAD, AUD, INR.
- Preparation:
- Instructor pre‑adds
iso_codecolumn so the course focuses on API work. - About 170 currency records.
- Instructor pre‑adds
4.2 PRD (Product Requirements Document)
Stored as
PRD/requirements.md.Goal:
- Build a currency converter API that converts between currencies based on Treasury USD exchange rates.
API:
- Endpoint:
GET /convert. - Query parameters:
amount: numeric amount.from: three‑letter ISO code.to: three‑letter ISO code.
- Uses query params so you can test via browser without a separate client.
- Endpoint:
Scope constraints:
- Only conversions with USD involved:
- Supported: USD→X, X→USD.
- Not supported: X→Y when neither is USD (e.g., CAD→INR).
- Reason:
- General cross‑currency conversion requires graph‑like modeling, which distracts from Claude/workflow teaching goals.
- Only conversions with USD involved:
Explicit “out of scope”:
- Transitive/non‑USD to non‑USD conversion.
Future considerations:
- Potential to support full cross‑rates, better API design, additional endpoints, etc.
Key idea:
- PRD is input for both humans and the AI coding agent; Claude uses it as the requirements source.
5. Implementing the Currency Converter with Claude
5.1 Plan for /convert Endpoint
Workflow:
- Open
requirements.mdin VS Code. - In plan mode, ask:
- “Can you help me implement this API? Identify all the things that you need to do.”
- Claude:
- Uses DeepWiki and web tools for libraries and Cloudflare best practices.
- Builds a detailed implementation plan.
- Open
Plan overview:
- Implement
GET /convertthat:- Converts between USD and other currencies using the CSV data.
- Supports only USD‑based conversions (either
fromortois USD).
- Implement
5.1.1 File and Architecture Plan
New files and layers:
src/services/exchangeRateService.ts- Loads CSV, parses, builds rate lookup structure.
src/services/conversionService.ts- Implements conversion logic and business rules.
src/types/currencyTypes.ts- Type definitions for exchange rates, responses, etc.
- Utility helpers:
- Input validation.
- Error response formatting.
Data structures:
- Build a hash map from
iso_codeto rate for O(1) lookups.
- Build a hash map from
CSV parsing:
- Use
papaparsefor reliable CSV parsing.
- Use
Validation logic:
amountmust be > 0.fromandtomust be three‑letter ISO codes.- Both currencies must be supported by CSV.
- Enforce that at least one of
fromortois USD.
Error handling:
- Invalid amount.
- Bad ISO format.
- Unsupported currencies.
- Non‑USD↔non‑USD conversions.
Conversion math:
- If
from = USD,to = X:convertedAmount = amount * rate(USD→X).
- If
from = X,to = USD:convertedAmount = amount / rate(USD→X).
- If
Responses:
- Success, HTTP 200:
- Fields such as
success,from,to,amount,convertedAmount, possibly rate and timestamp.
- Fields such as
- Error, HTTP 4xx:
success = falseand descriptiveerrormessage.
- Success, HTTP 200:
Manual testing plan:
100 USD → EUR.100 USD → USD.- Negative amounts.
- Missing parameters.
- Unsupported currency pairs (e.g., EUR→JPY).
Execution:
- You approve via auto‑accept.
- Claude:
- Adds services, types, validations, and
/convertroute. - Starts dev server, fixes any runtime or build issues.
- Exercises endpoints via curl and browser.
- Adds services, types, validations, and
5.2 Example Behaviors
GET /convert?amount=100&from=USD&to=EUR- Returns success with some converted amount (e.g., 85.2).
GET /convert?amount=100&from=USD&to=USD- Returns 100, with rate 1.
GET /convert?amount=-100&from=USD&to=EUR- Returns validation error: amount must be greater than 0.
GET /convert?amount=100&from=USD(missingto)- Returns error: two currency parameters required.
GET /convert?amount=100&from=EUR&to=EUR- Returns same amount with rate 1.
GET /convert?amount=100&from=EUR&to=AUD- Returns error: only USD‑based conversions are supported.
6. Version Control with Claude Code
6.1 Initial Git Setup and First Push
- Situation:
- Project files exist locally but not under Git.
- You:
- Create an empty GitHub repository named
LinkedIn Currency Converter. - Copy its remote URL.
- Ask Claude:
- To inspect the current state and set up Git + push to GitHub using that URL.
- Create an empty GitHub repository named
- Claude:
- Runs
git init. - Renames default branch to
main. - Stages files with
git add.
- Runs
- You:
- Review staged files in VS Code source control to confirm only expected files are included.
- Claude:
- Commits with an initial message (e.g., “Initial commit (generated with Claude Code)”).
- Adds remote
originwith your GitHub URL. - Pushes to
main.
- Result:
- Code is now in GitHub on branch
main.
- Code is now in GitHub on branch
6.2 Feature Branch and Pull Request Workflow
- Example change:
- Root endpoint currently returns version and a list of all endpoints, which can be considered a security concern.
- Desired behavior:
- Remove the endpoints list from the root response and manage the change via a feature branch and PR.
Process:
- Open
src/index.tsand notice the root handler returns the endpoints list. - Ask Claude:
- To modify this behavior and do so on a feature branch.
- Claude:
- Creates a feature branch (e.g.,
feature/remove-endpoint-exposure). - Switches to that branch.
- Edits the root handler to remove the endpoint list from the response.
- Runs dev server and curl tests to confirm results.
- Creates a feature branch (e.g.,
- You:
- Refresh root endpoint in browser to confirm the endpoints list is gone.
- Ask Claude to:
- Commit changes and create a pull request against
main.
- Commit changes and create a pull request against
- Claude:
git add, commit with message describing change.- Pushes the branch.
- Uses GitHub CLI to open a PR with description and test plan.
- You:
- Review PR on GitHub.
- Approve and merge.
- Optionally delete the feature branch locally and remotely.
- Takeaway:
- Claude can help manage full Git lifecycle: feature branches, commits, pushes, and PR creation.
7. Adding Automated Tests with Claude
7.1 Testing Requirements
Current gap:
- API works manually, but there are no automated:
- Unit tests for services.
- Integration tests for HTTP endpoints.
- API works manually, but there are no automated:
Goal:
- Add both unit and integration tests, using Claude:
- Work in feature branch.
- Open PR for review.
- Add both unit and integration tests, using Claude:
7.2 Test Plan (Plan Mode)
- Prompt:
- Ask Claude to research testing options and create a plan for unit + integration testing.
- Claude:
- Uses sources to identify best practices for testing Cloudflare Workers.
- Recommends:
- Vitest as test runner.
@cloudflare/vitest-pool-workersfor Cloudflare Workers testing.
Planned changes:
Config:
- Update
package.json:- Add dev dependencies for Vitest and the Cloudflare pool.
- Add test scripts, e.g.
"test": "vitest".
- Add
vitest.config.ts. - Adjust
tsconfig.jsonto include test files or appropriate compiler options.
- Update
Tests:
- Directory:
tests/. - Unit tests:
- Exchange rate service:
- Returns 1 for USD.
- Returns correct rates for valid currencies.
- Handles case sensitivity and missing/invalid ISO codes.
- Conversion service:
- Correct
USD→XandX→USDmath. - Edge cases, including unsupported pairs and rounding behavior.
- Correct
- Validation utilities:
- Amount must be > 0.
- ISO codes must be three letters.
- Proper error responses for invalid input.
- Exchange rate service:
- Integration tests:
- Test the worker endpoints:
/root: expected JSON structure./health: OK response./converthappy path and error paths.- Wrong methods and 404 behavior.
- CORS behavior if applicable.
- Test the worker endpoints:
- Directory:
Claude then:
- Creates tests iteratively, running them as it goes.
- Adds fixtures or mocks for CSV data as needed.
- Reaches about 105 test cases across services and endpoints.
You:
- Run
npm testto see all tests pass. - Review all test files, config changes, and coverage.
- Run
After review:
- Ask Claude to commit tests in a feature branch and open a PR.
- Merge PR after confirming.
Key insight:
- Claude can generate a comprehensive test suite quickly, but you still need to understand and own the tests.
8. CI Setup with GitHub Actions
8.1 Add CI for Tests on PRs and Main
- Problem:
- Tests exist locally but do not automatically run on GitHub PRs or pushes.
- Goal:
- Run tests in CI on:
- Every pull request to
main. - Every push to
main.
- Every pull request to
- Run tests in CI on:
Process:
- Ask Claude to create a GitHub Actions workflow that:
- Triggers on pull requests targeting
main. - Triggers on push to
main.
- Triggers on pull requests targeting
- Claude:
- Creates
.github/workflows/test.yamlwith:- Events:
on: pull_requesttomain.on: pushtomain.
- Job
test:- Checkout.
- Setup Node.
- Install dependencies.
- Run tests.
- Optional type checks were initially included; you choose to keep test running only.
- Events:
- Creates
Results:
- For any PR:
- Workflow runs tests and shows status under Checks.
- For pushes to
main:- Workflow runs tests again and reports status.
- Benefit:
- Prevents untested code from landing on
main.
- Prevents untested code from landing on
9. Preparing for Continuous Deployment (CD)
9.1 Manual Cloudflare Setup
Steps:
- Log in to Cloudflare dashboard.
- Copy Account ID:
- From the main dashboard page.
- Create API token:
- Go to Profile → API Tokens.
- Use “Edit Cloudflare Workers” template.
- Scope:
- Specific account (yours).
- All zones (for simplicity).
- Create and copy the token securely.
9.2 Add GitHub Secrets
In your repo’s GitHub settings:
Add two Actions secrets:
CLOUDFLARE_ACCOUNT_ID(account ID from Cloudflare).CLOUDFLARE_API_TOKEN(token created above).
Claude can check if secrets names exist, but not whether values are correct.
If values are wrong, deployments fail at runtime.
10. CI/CD Plan and Implementation
10.1 Deployment Requirements and Plan
Desired behavior:
- Deploy automatically when changes are merged to
main. - CD must only run after tests have passed.
- Use GitHub Actions with existing Cloudflare setup.
- Deploy automatically when changes are merged to
Additional requirements:
- Keep Worker name aligned with the project name (e.g., LinkedIn currency converter Worker).
- All work for CD must be in feature branch + PR.
- Add verification of secrets existence.
In plan mode, you ask Claude to:
- Update the workflow so:
- On pushes to
main:- Run tests.
- If tests pass, deploy to Cloudflare Workers.
- On pushes to
- Update the workflow so:
Claude’s plan:
- Extend
test.yamlto add adeployjob:testjob:- Same as before, runs on both PR and push.
deployjob:needs: testso it only runs if tests pass.- Runs only on
pushtomain. - Steps:
- Checkout.
- Setup Node.
- Install dependencies.
- Invoke
npm run deploy(wrappingwrangler deploy).
- Environment:
- Uses
CLOUDFLARE_ACCOUNT_IDandCLOUDFLARE_API_TOKENfrom secrets.
- Uses
10.2 Adding Smoke Tests After Deployment
You ask to add smoke tests as part of CD:
- After deployment, run a small set of HTTP checks against live Worker.
Claude updates the deployment job:
- Adds a wait/sleep to allow propagation.
- Defines the Worker base URL, e.g.:
https://<subdomain>.workers.devorhttps://<subdomain>.workers.dev/<worker-name>.
- Adds smoke test steps using curl:
- Test
/healthreturns success. - Test
/returns expected JSON. - Test
/convertwith known parameters returns a successful response.
- Test
You provide your own subdomain for the URL.
Claude:
- Implements updated workflow in a feature branch.
- Commits and pushes.
- Opens a PR.
You:
- Review workflow changes.
- Merge PR into
main.
10.3 First Full Deployment and Fixing Smoke Test Issues
When PR is merged:
testjob runs – passes.deployjob runs:npm run deploydeploys Worker to Cloudflare.- Smoke tests execute.
Issue:
- Worker actually works when you open the URL manually.
- Smoke test step fails because JSON is pretty‑printed or formatted in a way the original
greppattern did not handle.
You:
- Share the failing workflow run details with Claude.
Claude:
- Examines logs.
- Adjusts smoke test step to use more robust checks (e.g., better pattern, simple parsing).
- Makes changes in a feature branch and PR.
After merging fix:
test+deployboth pass.- Smoke tests succeed.
Pipeline now:
- PR → tests.
- Merge to
main→ tests → deploy → smoke tests.
11. Final End‑to‑End Validation with a New Feature
11.1 New Feature: totalCurrencies Metric
Purpose:
- Test the complete flow with a small change.
Requirement:
- Add
totalCurrenciesfield to successful/convertresponses. totalCurrenciesshould be the number of supported currencies in the CSV.- This field should appear only in success responses, not in error responses.
- Add
Constraints:
- Work must be:
- Planned in plan mode.
- Implemented in a feature branch.
- Covered by tests.
- Delivered via PR and CI/CD pipeline.
- Work must be:
11.2 Plan and Implementation
In plan mode, you ask Claude to:
- Add
totalCurrenciesand outline the changes and tests.
- Add
Plan:
- Type updates:
- Extending response type definitions to include
totalCurrencies.
- Extending response type definitions to include
- Implementation:
- In exchange rate service:
- Add function to count the total currency rates loaded.
- In
/convertroute:- Include
totalCurrenciesfield in successful responses. - Leave error responses unchanged.
- Include
- In exchange rate service:
- Tests:
- Extend integration tests to:
- Verify
totalCurrenciesis present and correct in successful responses. - Confirm
totalCurrenciesis absent in error responses.
- Verify
- Extend integration tests to:
- Type updates:
Implementation details:
- Claude starts editing main; you interrupt and insist on a feature branch.
- Claude:
- Creates feature branch.
- Implements code changes and tests.
- Runs tests; now about 108 tests pass.
- You also run
npm testto verify all 108 tests pass.
Claude then:
- Commits changes.
- Pushes branch.
- Opens PR.
11.3 CI/CD and Production Verification
PR stage:
- CI runs tests on PR; they pass.
Merge:
- You merge PR to
main.
- You merge PR to
On
main:testjob passes.deployjob deploys to Cloudflare.- Smoke tests pass.
Manual verification:
- Call
/converton the deployed Worker. - Confirm that response includes a
totalCurrenciesfield with the correct count.
- Call
Outcome:
- Demonstrates full lifecycle:
- Requirements → plan → implementation → tests → feature branch → PR → CI → CD → smoke tests → production behavior.
- Demonstrates full lifecycle:
12. Key Practices and Mindset Shifts
12.1 How Work Changes with AI Coding Agents
- Less time on:
- Hand‑writing boilerplate.
- Manual documentation lookup.
- More time on:
- Understanding the problem domain.
- Defining requirements and PRDs.
- Reviewing generated code and tests.
- Silence while Claude works:
- Use this time to:
- Think about domain and product.
- Plan debugging strategies.
- Design future features.
- Use this time to:
12.2 Safety and Control
- Use plan mode when:
- Requirements are fuzzy.
- Changes are high impact (architecture, CI/CD, test strategy).
- Use permit‑once for:
- Git operations.
- Any command that can change or delete data.
- Use permit‑always for:
- Safe commands (e.g., find).
- Frequent and safe tool calls like targeted documentation queries.
12.3 Code Ownership
- Even with heavy AI involvement:
- You remain responsible for the code.
- Always:
- Read the plan.
- Review diffs.
- Understand the test suite.
- Refactor code where needed.
12.4 Reusability and Portability
- Pattern is portable beyond Cloudflare Workers:
- Could apply to AWS Lambda, Firebase Functions, Vercel, etc.
- Core reusable pattern:
- PRD → plan mode → service architecture → implementation → tests → CI → CD → smoke tests → iterative feature development via PRs.