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gitea-mcp/AGENTS.md
Mathias 3cccbfb8cb
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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-17 00:02:08 +02:00

14 KiB

Agent context — Mathias workspace

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).

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

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:), one concern per PR, PR describes why not what
  • Security: no secrets in code, govulncheck before adding deps, SOPS for encrypted config
  • Dependencies: prefer stdlib. testify, slog, templ, sqlc 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
  • 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

Identity

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:
  • Branch naming: feat/short-description, fix/short-description
  • PRs: one concern per PR, description explains why not what
  • Branch protection: always work on a feature branch, open a PR, never push directly to main

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. Always work on a feature branch and open a PR — never push directly to main
  7. For client projects: never send code or context to cloud APIs — use local models via LiteLLM

Current sprint — gitea-mcp v0.2 patch (2026-05-14)

Context

The main v0.2 batch (repo_create, repo_update, repo_mirror_push, repo_delete, repo_tree, repo_topics_update, file_read dir-fix, issue_get, release_create, create_project_from_template) was implemented and pushed directly to main.

This sprint fixes three remaining gaps found during code review on 2026-05-14. These are blockers for hyperguild new-project.

Issues to fix (all three in one PR: fix/v02-patch)

#12 — repo_update: add archived and template fields

File: internal/gitea/repos.goUpdateRepoArgs struct File: internal/tools/repo_update.go → input schema + args struct

Add to UpdateRepoArgs:

Archived *bool
Template *bool

Add to tool input schema:

"archived": {
  "type": "boolean",
  "description": "Mark repo as archived (read-only). Requires confirm=<repo name>."
},
"template": {
  "type": "boolean",
  "description": "Toggle template repo flag."
}

Add confirm-guard for archived=true (same pattern as private=false):

if args.Archived != nil && *args.Archived {
    if args.Confirm != args.Name {
        return nil, fmt.Errorf("setting archived=true is irreversible: set confirm=%q to proceed", args.Name)
    }
}

New test cases to add in repo_update_test.go:

  • TestRepoUpdateTool_Archive — happy path with confirm
  • TestRepoUpdateTool_ArchiveRequiresConfirm — missing confirm returns error
  • TestRepoUpdateTool_SetTemplate — no confirm needed

#24 — create_project_from_template: make template selectable

File: internal/tools/create_project_from_template.go

Add optional template_name param to input schema:

"template_name": {
  "type": "string",
  "enum": ["template-go-web", "template-go-agent"],
  "description": "Template repo to generate from. Defaults to template-go-web.",
  "default": "template-go-web"
}

The tool should use args.TemplateName if set, fall back to the hardcoded default. Remove the hardcoded template name from cmd/gitea-mcp/main.go constructor call — the tool resolves it internally.

New test case: TestCreateProjectFromTemplate_AgentTemplate

#25 — pr_files_diff: fix same diff returned for all files

File: internal/tools/pr_files_diff.go

There is a loop bug where all file entries in the response contain the same diff (the first file's diff is reused for every subsequent file). Find the loop and ensure each iteration reads and assigns the correct diff for its own file.

Reproduce: call pr_files_diff on any PR with 3+ files, verify each file has a distinct diff.

Definition of done

  • task check passes
  • repo_update accepts archived and template params
  • archived=true requires confirm=<repo name>
  • create_project_from_template accepts template_name param, defaults to template-go-web
  • pr_files_diff returns distinct diff per file
  • All new test cases pass
  • PR fix/v02-patch merged to main via PR (not direct push)

After this sprint

Next: hyperguild new-project v1 implementation. See brain node adr-new-project-gitea-first-github-mirror for the full flow spec. Also: verify end-to-end mirror flow (issue #19) once repo_mirror_push is confirmed working.