ways:
1. **Reproduce and fix it**, with a regression test that fails without the fix and passes with it.
2. **Reproduce it, commit a failing (red) test that pins
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packages (lerna run build)
yarn watch # Watch mode - rebuilds on changes (for development)
yarn test # Run all tests (vitest)
yarn test packages/layout # Run tests for a specific package
yarn lint
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Type checking (slow first run)
just quick-ty # Type check only changed files
# Testing
pytest path/to/tests/ # Run specific tests
pytest python_modules/dagster/dagster_tests/ # Run core tests
tox -e py39-pytest # Test
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using the `.oss.tsx` files. In cloud we build the app using `.cloud.tsx` files.
# Testing Dagster UI
The packages contained within are part of a yarn workspace.
Check the respective package.json
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keep it consistent with the style used in the project.
Aim for a test-driven development (TDD) approach when possible. Tests play an important role. See [Testing](#testing) below.
When
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jekyll build --baseurl /al-folio # production-style build to _site/
bash test/integration_distill.sh # run ONE integration test (any of the seven in test/)
npm run test:visual:update # refresh playwright snapshots after
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exceeds ~80 lines
- Naming: `New()` for constructors, `Get/Set` for accessors, avoid stuttering (`feishu.FeishuPlatform` → `feishu.Platform`)
## Testing
### Requirements
- All new features must include unit tests
- All bug fixes should include a regression
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example:
- new feature or behavior change: `superpowers:brainstorming`, then `superpowers:writing-plans`
- bug, test failure, unexpected behavior: `superpowers:systematic-debugging`
- writing code: `superpowers:test-driven-development`
- before claiming "done
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steps** — Read `.agents/skills/writing-build-steps/SKILL.md`
when creating or modifying `@BuildStep` methods, build items, or recorders.
- **Writing tests** — Read `.agents/skills/writing-tests/SKILL.md`
when creating or modifying tests for Quarkus extensions.
- **Working with config** — Read `.agents/skills/working-with-config/SKILL.md
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Large Language Model (LLM) applications. It provides objective metrics for evaluating LLM applications, test data generation capabilities, and integrations with popular LLM frameworks.
The repository contains:
1. **Ragas Library
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packages (sequential, use if parallel causes issues)
pnpm run build-serial
# Run all tests
pnpm test
# Lint (oxlint, type-aware)
pnpm run lint
# Typecheck every package and its tests
pnpm
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routes → `core/api/`, one dir per domain
- Frontend views → `core/frontend/src/views/`, one dir per feature
- Tests → next to source files (`*_test.go`, `*.test.ts`)
- Single responsibility per file, descriptive names
## Code Quality
After editing
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CarAppSessionBase` -- service and session lifecycle
- Separate manifest for car permissions (`NAVIGATION_TEMPLATES`, `ACCESS_SURFACE`)
## Testing
- JUnit 4 with Mockito
- Unit tests: `app/src/test/java/`, `sdk/src/test/java/`
- Instrumentation tests: `sdk/src/androidTest/java/`
- If applicable, test
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Standard library: in angle brackets
#include
#include <boost/noncopyable.hpp> // Third-party: in angle brackets
```
### C++ testing patterns
```cpp
namespace test_file_name
{
// Unit tests use custom macros from testing/testing.hpp, not Google
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checksums
- `countries_meta.txt` -- country/region languages and driving sides
- `borders/` -- country/region border polygons
- `minsk-pass.mwm` -- small test map
## Adding a new map feature / search category
1. Add to `mapcss-mapping.csv` (OSM tag -> OM type
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A file Claude Code reads at the start of every session. It holds the commands, conventions and warnings the agent needs for this project.
Where does it go?
At the repository root. Claude Code also reads CLAUDE.md files in subdirectories when it works there.
What should it contain?
Build and test commands, the project's layout, conventions that aren't obvious from the code, and mistakes to avoid. Short files tend to work better than long ones.
CLAUDE.md or AGENTS.md?
Claude Code reads CLAUDE.md; most other agents read AGENTS.md. Many projects keep one and point the other at it.