reviewable changes; avoid unrelated rewrites.
- Use the simplest design that solves the actual problem; do not add
speculative machinery, and remove machinery your change makes unnecessary.
- Inspect nearby code before
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snapshot-based; do not design bespoke inverse
operations for it.
- Before changing or reviewingcode that derives graph/workspace/branch/stack/commit
relationships, reachability, dependencies, ordering, operation targets, or Git
graph/history/ref-placement mutations, use `crates/WORKSPACE_MODEL.md
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read `tests/README.md` for detailed instructions on testing in PEFT. Test code that is improperly implemented imposes a big review burden on maintainers.
#### Test selection
If you make a testable change
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short:
- AI tools may be used to explore the codebase and to generate code.
- The contributor must fully understand, and be able to explain, every change submitted.
- Issues, pull request
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Graal repo.
Ask your agent to consult it before drafting, rewriting, or reviewing documentation so it can follow GraalVM documentation conventions for terminology, tone, spelling, and Markdown structure.
Apply these
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suffices; regex support increases image code size.
- When porting HotSpot code, preserve its names and structure where practical so reviewers and maintainers can compare the implementations.
- If you touch documented
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finish and integrate safely rather than switching blindly.
When the user asks you to review or integrate a PR or branch, you may inspect,
test, and integrate that contribution regardless
Steady9 mentions in 2 weeks
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guide's [Coding Agent Usage](https://github.com/containerd/project/blob/main/CONTRIBUTING.md#coding-agent-usage) policy and the repository's [submission requirements](CONTRIBUTING.md#automated-and-ai-generated-contributions). The human contributor reviews all content before submission
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free simply because it is easy to produce. Optimize for code that needs to exist and can be reviewed and maintained.
## Release stabilization
When working on a release branch
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GitHub Copilot includes several agentic features that go beyond suggestion and conversation—they can reviewcode, take action on your behalf, and build applications. This card covers the following experiences
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first. We design systems and use agents to implement them — this is not vibe coding. The product provides safe, sandboxed runtimes for autonomous AI agents, and the project itself
Steady12 mentions in 2 weeks
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section links a commit that release does not contain.
The contributor's half is review. Nobody but the maintainer commits to `main` in
wekan/wekan, so a change from anyone else
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slow and CI covers them at the right time.
# Coding Guidelines
When generating or reviewingcode anywhere in this repo, always read [agent_docs/index.md](agent_docs/index.md) and follow/enforce those guidelines
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fence, such as `{test="skip" lint="skip"}`, rather than adding tooling suppressions to pedagogical code. Examples that are linted are also type-checked with pyright; opt one out with `typecheck
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edit from
outside the org is a supply-chain change rather than an ordinary codereview — a
maintainer carries legitimate ones forward in their own PR (#7024 is the case
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implementation rename unless the migration of in-flight executions is
intentional and reviewed.
Resolve base and per-tool configuration with `OperationConfigRole` and `DurableOperationId`.
Handle known ID variants and retain
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collection of pre-made capabilities for Pydantic AI.
- **AICA**: AI Code Assistant -- the automated agent that implements issues, reviews plans, and handles PR feedback
## AICA preflight
Before implementing or reviewing
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make assertions about the HTTP requests if needed.
To assert what the code actually sent — headers included — take the `request_capture` fixture
instead. It reads the wire rather than
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