- Key entry points:
posthog/api/__init__.py(URL routing),posthog/settings/web.py(Django settings, INSTALLED_APPS),products/(product apps) - Monorepo layout - high-level directory structure (products, services, common)
- Products README - how to create and structure products
- Products architecture - DTOs, facades, isolated testing
- Environment:
- Use flox when available — prefer
flox activate -- bash -c "<command>"if commands fail- Never use
flox activatein interactive sessions (it hangs if you try)
- Never use
- Use flox when available — prefer
- Tests:
- Universal:
hogli test <file_or_directory>— auto-detects test type (Python, Jest, Playwright, Rust, Go) - Single test:
hogli test path/to/test.py::TestClass::test_method - Watch mode:
hogli test path/to/test.py --watch - Changed files only:
hogli test --changed
- Universal:
- Lint:
- Python:
ruff check . --fixandruff format .- Do not run mypy for type checks. It takes too long.
- Frontend:
pnpm --filter=@posthog/frontend format - TypeScript check:
pnpm --filter=@posthog/frontend typescript:check
- Python:
- Build:
- Frontend:
pnpm --filter=@posthog/frontend build - Start dev:
./bin/start
- Frontend:
- OpenAPI/types:
hogli build:openapi(regenerate after changing serializers/viewsets) - New product:
bin/hogli product:bootstrap <name> - LSP: Pyright is configured against the flox venv. Prefer LSP (
goToDefinition,findReferences,hover) over grep when navigating or refactoring Python code.
Use conventional commits for all commit messages and PR titles.
feat: New feature or functionality (touches production code)fix: Bug fix (touches production code)chore: Non-production changes (docs, tests, config, CI, refactoring agents instructions, etc.)- Scope convention: use
llmafor LLM analytics changes (for example,feat(llma): ...)
<type>(<scope>): <description>
Examples:
feat(insights): add retention graph exportfix(cohorts): handle empty cohort in query builderchore(ci): update GitHub Actions workflowchore: update AGENTS.md instructions
Required: Before creating any PR, read .github/pull_request_template.md and use its exact section structure.
Do not invent a different format.
Always uncomment and fill the ## LLM context section for agent-authored PRs.
Keep descriptions high-level, focusing on rationale and architecture for the human reviewer.
- Scope is optional but encouraged when the change is specific to a feature area
- Description should be lowercase and not end with a period
- Keep the first line under 72 characters
.nvmrccontrols the Node.js version for all CI workflows (viaactions/setup-node) — changing it affects every CI job that runs Node- Every job in
.github/workflows/must declaretimeout-minutes— prevents stuck runners from burning credits indefinitely
See .agents/security.md for SQL, HogQL, and semgrep security guidelines.
- API views should declare request/response schemas — prefer
@validated_requestfromposthog.api.mixinsor@extend_schemafrom drf-spectacular. PlainViewSetmethods that validate manually need@extend_schema(request=YourSerializer)— without it, drf-spectacular can't discover the request body and generated code gets empty schemas - Django serializers are the source of truth for frontend API types —
hogli build:openapigenerates TypeScript via drf-spectacular + Orval. Generated files (api.schemas.ts,api.ts) live infrontend/src/generated/core/andproducts/{product}/frontend/generated/— don't edit them manually, change serializers and rerun. See type system guide for the full pipeline - MCP tools are generated from the same OpenAPI spec — see implementing MCP tools for the YAML config and codegen workflow
- MCP UI apps (interactive visualizations for tool results) are defined in
products/*/mcp/tools.yamlunderui_appsand auto-generated — see services/mcp/CONTRIBUTING.md or use theimplementing-mcp-ui-appsskill - When touching a viewset or serializer, ensure schema annotations are present (
@extend_schemaor@validated_requeston viewset methods,help_texton serializer fields) — these flow into generated frontend types and MCP tool schemas - New features should live in
products/— read products/README.md for layout and setup. When creating a new product, follow products/architecture.md (DTOs, facades, isolation) - Always filter querysets by
team_id— in serializers, access the team viaself.context["get_team"]() - Do not add domain-specific fields to the
Teammodel. Use a Team Extension model instead — seeposthog/models/team/README.mdfor the pattern and helpers
- Python: Use type hints (mypy-strict style)
- Frontend: TypeScript required, explicit return types
- Frontend: If there is a kea logic file, write all business logic there, avoid React hooks at all costs.
- Imports: Use oxfmt import sorting (automatically runs on format), avoid direct dayjs imports (use lib/dayjs)
- CSS: Use tailwind utility classes instead of inline styles
- Error handling: Prefer explicit error handling with typed errors
- Naming: Use descriptive names, camelCase for JS/TS, snake_case for Python
- Comments: explain why, not what — if the reason isn't important, skip the comment
- Comments: when refactoring or moving code, preserve existing comments unless they are explicitly made obsolete by the change
- Python tests: do not add doc comments
- Python: do not create empty
__init__.pyfiles - jest tests: when writing jest tests, prefer a single top-level describe block in a file
- Tests: prefer parameterized tests (use the
parameterizedlibrary in Python) — if you're writing multiple assertions for variations of the same logic, it should be parameterized - Reduce nesting: Use early returns, guard clauses, and helper methods to avoid deeply nested code
- Markdown: prefer semantic line breaks; no hard wrapping
- Use American English spelling
- When mentioning PostHog products, the product names should use Sentence casing, not Title Casing. For example, 'Product analytics', not 'Product Analytics'. Any other buttons, tab text, tooltips, etc should also all use Sentence casing. For example, 'Save as view' instead of 'Save As View'.
When automating a convention, try these in order — only fall back to the next if the previous isn't suitable:
- Linters (ruff, oxlint, semgrep) — code pattern enforcement, always paired with CI
- lint-staged / husky — file-level validation or warnings at commit time
- Skills (
.agents/skills/) — scaffold withhogli init:skill - AGENTS.md / CLAUDE.md instructions — when automated enforcement isn't suitable
Claude Code hooks are reserved for environment bootstrapping (SessionStart only) — do not add PreToolUse, PostToolUse, or Notification hooks as they add latency and are fragile. Changes to .claude/hooks/ trigger a lint-staged warning; changes to .claude/settings.json are blocked outright.