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gitea-mcp/AGENTS.md
Mathias 11f86f5d99
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chore: adopt trunk-based development
Closes #27.

PROJECT.md
- Git section: TBD as the convention. Commit to main, one logical
  change per commit, `task check` locally before push, CI is the
  quality gate. PRs only for the parallel-agent exception.
- Agent rule 6: rewritten to match.

.gitea/workflows/cd.yml
- Drop the pull_request trigger — vestigial under TBD.
- Drop the `if: github.event_name != 'pull_request'` guard on the
  build job (now always true since pull_request no longer fires).
  Tag pushes still build (no version gating regression).
- Deploy `if` left alone — already correctly limits deploy to
  main pushes, skipping tag-push builds.

.githooks/pre-push (new)
- Runs `task check` before every push. Set up via `task setup:hooks`,
  which sets core.hooksPath to the in-repo .githooks dir.

Taskfile.yml
- New `setup:hooks` task to install the pre-push hook on a fresh
  clone.

README.md
- Quickstart section showing `task setup:hooks` + the TBD policy.

Derived adapters regenerated via `task context:sync` and committed
in the same commit (single-commit invariant).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-17 09:44:52 +02:00

295 lines
13 KiB
Markdown

# Agent context — Mathias workspace
<!-- Canonical root context for all AI coding agents.
Lives at: ~/dev/.context/AGENT.md
Applies to every project under ~/dev/ unless overridden.
Run `task context:sync` from ~/dev/ to regenerate harness-specific files.
Project-level context in .context/PROJECT.md layers on top of this. -->
## Who I am
I'm Mathias, a digital product manager and technology consultant based in Sweden.
I build software, research emerging tech, and deliver consulting engagements
for clients under NDA. I work across AI/ML, financial automation, web applications,
and climate/sustainability tech.
## How I work with agents
- I think like a product manager — I care about *why* before *how*
- I want agents to be opinionated and push back, not just execute blindly
- I prefer concise responses; skip ceremony and get to the point
- When I say "build this", I mean production-quality with tests, not a demo
- Ask me before making irreversible changes or adding heavy dependencies
- I work with confidential client data — never send it to cloud APIs unless I explicitly say it's OK
## Behavior rules
These rules apply to every task across every project, regardless of harness.
1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
Loop — implement, verify, refine — until those criteria are met. Don't claim
completion without evidence (tests pass, command output, observed behavior).
5. **Trunk-Based Development — commit directly to main.** Every commit is one
logical change (one tool, one fix, one test) with passing tests. Main is always
deployable. Never create long-lived feature branches.
**Exception — parallel agents on same repo:** If another agent is known to be
actively working on the same repo simultaneously, create a short-lived branch
(`agent/<description>`), finish the task, and merge to main within the same
session. Do not leave agent branches open between sessions.
**Exception — external contributor or client four-eyes requirement:** Use
PR flow only when a human reviewer outside the project is required. Document
the reason in PROJECT.md.
## Default stack
| Layer | Default | Fallback | Last resort |
|-------|---------|----------|-------------|
| Language | Go | Python | TypeScript, Java, C |
| UI | HTMX + Templ | Server-rendered HTML | React (only if SPA is justified) |
| Build | Task (taskfile.dev) | Make | — |
| Containers | Docker Compose (dev), k3s (prod) | — | — |
| DB | PostgreSQL + sqlc | SQLite | — |
| Search | pgvector (vector), BM25 | Qdrant (when >1M vectors or hybrid retrieval) | — |
| Logging | slog (structured) | — | — |
| Testing | Table-driven, testify | — | — |
| Agents (Go) | google.golang.org/adk + pkg/litellm adapter | — | — |
Exploratory: Rust, Zig — I'll tell you when I want these.
## Code conventions
- **Go style**: golines, gofumpt, golangci-lint
- **Errors**: `fmt.Errorf("operation: %w", err)` — never naked, never log-and-return
- **Naming**: stdlib conventions, no stuttering
- **Architecture**: prefer stdlib over frameworks, constructor injection, env-var config parsed into typed structs
- **Git**: conventional commits (`feat:`, `fix:`, `chore:`), commit directly to main,
one logical change per commit, CI is the quality gate
- **Never**: long-lived feature branches, PRs for solo work, direct push without
passing `task check` locally first
- **Security**: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
- **Dependencies**: prefer stdlib. testify, slog, templ, sqlc, google.golang.org/adk (agent projects only) are pre-approved; anything else needs justification in the commit message
## Infrastructure
Three machines on Tailscale:
| Machine | Role | Key specs |
|---------|------|-----------|
| koala | GPU inference, heavy compute | RTX 5070, runs k3s + llama-swap + shared postgres18/pgvector |
| iguana | Services, builds | M2 Ultra Mac |
| flamingo | Daily driver, edge | Mac mini, ~/dev is here |
- **Model routing**: LiteLLM in front of llama-swap (local) + cloud APIs (when permitted)
- **Orchestration**: k3s cluster across all three machines
- **Networking**: Tailscale mesh
## Project landscape
All development repos live at `~/dev/` (softlink from `~/Documents/local-dev/`).
Organized in thematic folders:
| Folder | Focus | Count |
|--------|-------|-------|
| `GO/` | Go web frameworks, API integrations, learning projects | ~10 |
| `AI/` | ML research, AI frameworks (FinRL, DSPy, crawl4ai) | ~6 |
| `AGENTS/` | Autonomous agents, coding agents, MCP servers, infra | ~15 |
| `QKX/` | Invoice processing, financial automation, payment systems | ~13 |
| `XT/` | Climate data, sustainability (Klimatkollen, Garbo) | ~2 |
See `~/dev/PROJECT_SUMMARY.md` for detailed descriptions of each project.
### Key active projects
- **super-koala** (`AGENTS/`) — multi-component agent stack with LangGraph, DSPy, MCP
- **azure-tiger** (`QKX/`) — invoice extraction → ISO 20022 payment instructions
- **gocrwl** (`AGENTS/`) — Go web crawler with containerized deployment
- **koala-ai-stack** (`AGENTS/`) — local AI server infrastructure management
- **klimatkollen** (`XT/`) — Swedish municipal climate data platform
## Knowledge base
When available, agents can query the shared knowledge base:
- **MCP**: `mcp://hyperguild.<TAILNET>.ts.net:3100/knowledge`
- **HTTP**: `http://hyperguild.<TAILNET>.ts.net:3100/api/v1/search`
<!-- TODO: replace <TAILNET> placeholder with the real Tailscale tailnet
name once hyperguild is deployed. Until then, agents that try to
reach the knowledge service on a host where it isn't running will
get DNS NXDOMAIN, which is the desired fail-loudly behavior. -->
- **Scoping**: defaults to `public` collection; client projects filter to `{client}` + `public`
## Client work rules
When working on a project tagged with a client name:
1. Never send code, data, or context to cloud APIs — use local models only
2. Never reference other client projects or their data
3. Keep all artifacts within the client's git org / directory
4. Treat everything as confidential unless told otherwise
## Harness-agnostic principles
This context is designed to work with any AI coding tool:
- Claude Code, Cursor, Aider, Open WebUI, Charmbracelet Mods/Crush
- Pi Coding Agent, Mistral Vibe, Antigravity
- Any tool that accepts a system prompt or reads a markdown context file
The canonical source is always `.context/AGENT.md` (root) and `.context/PROJECT.md` (per-project).
Derived files are committed (see *How context propagates* below) so a `git pull` on any host yields full agent context with no setup.
## How context propagates
Canonical sources of truth:
- Universal: `~/dev/.context/AGENT.md` (this file)
- Project: `<repo>/.context/PROJECT.md` (per-repo)
Derived files (committed, regenerated by `task context:sync`):
- `CLAUDE.md`, `AGENTS.md`, `.cursorrules`, `.aider.conventions.md`,
`.context/system-prompt.txt`
Workflow:
1. Edit a canonical file. Run `task context:sync`. Commit canonical and
derived together. Push.
2. On any other host, `git pull` brings both. Claude Code (tree-walking)
uses `CLAUDE.md`; Crush / Pi / Antigravity (cwd-only) use `AGENTS.md`;
Cursor uses `.cursorrules`; Aider uses `.aider.conventions.md`.
3. `task check` runs `context:sync` then asserts `git status --porcelain`
is empty over the derived files (catches both modified-tracked drift
and missing-untracked adapters). A drift fails the check with a
message telling you to stage the regenerated files.
Behavior rules in this file and per-project rules in `PROJECT.md` apply
unconditionally on every host, every harness.
## Engineering Skills
Shared engineering skills are available in `~/dev/.skills/`. Load on demand via the index.
See `~/dev/.skills/SKILLS_INDEX.md` for the full list with descriptions and "use when" triggers.
Key skills:
- **TDD**: always write tests first — load `tdd` skill
- **Code Review**: load `code-review` skill before any review
- **SOLID/Clean Code**: load `solid` or `clean-code` skill for design work
- **Problem first**: load `problem-analysis` skill before coding non-trivial features
---
# Project context
<!-- Canonical project context. Edit this, run `task context:sync`.
Root agent context from ~/dev/.context/AGENT.md is automatically
prepended for harnesses that don't walk the directory tree. -->
## Identity
- **Name**: gitea-mcp
- **Owner**: Mathias
- **Client**: personal
- **Repo**: https://gitea.d-ma.be/mathias/gitea-mcp
- **Status**: active
## Stack
- **Primary language**: Go
- **UI layer**: HTMX + Templ (when applicable)
- **Fallback languages**: Python, TypeScript (justify in PR if used)
- **Build**: Task (taskfile.dev), not Make
- **Containers**: Docker (compose for dev, k3s for deploy)
- **Target infra**: koala (GPU workloads), iguana (services), flamingo (edge)
## Conventions
### Code style
- Go: follow `golines`, `gofumpt`, `golangci-lint` with project config
- Tests: table-driven, in `_test.go` next to source, `testify` for assertions
- Errors: wrap with `fmt.Errorf("operation: %w", err)`, no naked returns
- Naming: stdlib conventions, no stuttering (`http.Client` not `http.HTTPClient`)
### Architecture preferences
- Prefer standard library over frameworks (net/http over gin/echo)
- Dependency injection via constructor functions, not containers
- Configuration via environment variables, parsed at startup into a typed struct
- Structured logging via `slog`
### Git
- Conventional commits: `feat:`, `fix:`, `chore:`, `docs:`, `refactor:`
- **Trunk-Based Development:** commit directly to main. One logical change per commit.
- Run `task check` locally before every push. CI is the quality gate, not branch protection.
- No feature branches, no PRs for solo/agent work.
- Exception: if a parallel agent session is active on this repo, use a short-lived
`agent/<description>` branch and merge within the same session.
### Security
- No secrets in code, ever — use env vars or SOPS-encrypted files
- Client data never leaves local network unless explicitly cleared
- Dependencies: audit with `govulncheck` before adding
## Knowledge base access
This project can query the shared knowledge base via MCP or HTTP:
- **MCP endpoint**: `mcp://localhost:3100/knowledge`
- **HTTP fallback**: `http://localhost:3100/api/v1/search`
- **Scoping**: queries are filtered to collection `personal` + `public`
## Behavior rules
These rules apply to every task in this project, regardless of harness.
1. **No assumptions.** Don't hide confusion — surface it. Surface tradeoffs explicitly.
Think before coding; if the problem is unclear, ask or state assumptions before acting.
2. **Minimum viable code.** Solve with the smallest change that works. Nothing
speculative, no "while we're here" cleanups, no premature abstractions. Simplicity first.
3. **Surgical changes.** Touch only what the task requires. Leave unrelated code,
files, and formatting alone. Diffs should be small and reviewable.
4. **Goal-driven execution.** Define clear success criteria up front for every task.
Loop — implement, verify, refine — until those criteria are met. Don't claim
completion without evidence (tests pass, command output, observed behavior).
## Agent instructions
When acting as a coding agent on this project:
1. Read this file and all `SKILL.md` files in `.skills/` before starting work
2. Run `task check` before committing (lint + test + vet)
3. If unsure about a convention, check `DECISIONS.md` or ask
4. Never modify files outside the project root without explicit permission
5. When adding a dependency, explain why in the commit message
6. Commit directly to main. Run `task check` before every push. Never create
feature branches unless a parallel agent is simultaneously active on this repo.
7. For client projects: never send code or context to cloud APIs — use local models via LiteLLM
## Current state — v0.2.5 (2026-05-17)
All v0.2 work is complete and deployed. No active sprint.
### What shipped
| Tag | PR | Tools / fixes |
|-----|----|---------------|
| v0.2.2 | #21 | repo_create, repo_update, repo_mirror_push |
| v0.2.3 | #22 | repo_tree, repo_topics_update, file_read dir fix |
| v0.2.4 | #23 | issue_get, release_create, repo_delete |
| v0.2.5 | #26 | repo_update archived+template, create_project_from_template template_name, pr_files_diff loop fix |
Current main: `e31fd3f`. CI green. Deployed via Flux.
### Next up
1. **`hyperguild new-project` v1** — primary next target.
See brain node `adr-new-project-gitea-first-github-mirror` for full flow spec.
2. **Issue #19** — end-to-end mirror flow verification.
`repo_mirror_push` is implemented but the full flow (create repo → add push mirror → verify sync to GitHub) has not been tested manually. Do this before relying on it in production.