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PostHog Development Guide

Codebase Structure

  • 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

Commands

  • Environment:
    • Use flox when available — prefer flox activate -- bash -c "<command>" if commands fail
      • Never use flox activate in interactive sessions (it hangs if you try)
    • If local hooks fail with missing Husky bootstrap files (for example .husky/_/husky.sh) or missing lint-staged, run pnpm install --frozen-lockfile --filter=. once in the repo root
  • Tests:
    • All tests: pytest
    • Single test: pytest path/to/test.py::TestClass::test_method
    • Product tests (Turbo): pnpm turbo run backend:test --filter=@posthog/products-<name>
    • Frontend: pnpm --filter=@posthog/frontend test
    • Single frontend test: pnpm --filter=@posthog/frontend jest <test_file>
  • Lint:
    • Python:
      • ruff check . --fix and ruff 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
  • Build:
    • Frontend: pnpm --filter=@posthog/frontend build
    • Start dev: ./bin/start
  • 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.

Commits and Pull Requests

Use conventional commits for all commit messages and PR titles.

Commit types

  • 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 llma for LLM analytics changes (for example, feat(llma): ...)

Format

<type>(<scope>): <description>

Examples:

  • feat(insights): add retention graph export
  • fix(cohorts): handle empty cohort in query builder
  • chore(ci): update GitHub Actions workflow
  • chore: update AGENTS.md instructions

Rules

  • 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

Security

See .agents/security.md for SQL, HogQL, and semgrep security guidelines.

Architecture guidelines

  • API views should declare request/response schemas — prefer @validated_request from posthog.api.mixins or @extend_schema from drf-spectacular. Plain ViewSet methods 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:openapi generates TypeScript via drf-spectacular + Orval. Generated files (api.schemas.ts, api.ts) live in frontend/src/generated/core/ and products/{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
  • When touching a viewset or serializer, ensure schema annotations are present (@extend_schema or @validated_request on viewset methods, help_text on 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 via self.context["get_team"]()
  • Do not add domain-specific fields to the Team model. Use a Team Extension model instead — see posthog/models/team/README.md for the pattern and helpers

Code Style

  • 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
  • Python tests: do not add doc comments
  • jest tests: when writing jest tests, prefer a single top-level describe block in a file
  • Tests: prefer parameterized tests (use the parameterized library 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'.

Skills

Skills are created inside .agents/skills by default and then symlinked to .claude/skills. Make sure you always treat .agents/skills as the source of truth.