agentleFS
AWSKnown publisherawslabs/agentic-developer-platform/AGENTS.md

agentic-developer-platform

AGENTS.md7 starsChanged 6 days agoApache-2.0View on GitHub

This is an open-source repository. Follow docs/PUBLISHING.md: never publish real AWS account IDs, deployment URLs, customer/environment identities, resource IDs, operator profiles, or private evidence in documentation. Use fictional examples and private configuration. Run python3 scripts/check-public-docs.py before publishing documentation changes. Follow the canonical issue-authoring guide and its epic/story templates. Preserve native parent links and stable acceptance and scenario IDs; specify independent test assertions and relevant determinism controls. The Engineering Insights walkthrough provides filled examples and an optional offline format check. To…

The file

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use fictional examples and private configuration.

    line 8
  2. Distinctive:

    Follow the canonical issue-authoring guide and its epic/story templates.

    line 13

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

Agent Instructions — ADP (Agentic Developer Platform)

Public documentation

This is an open-source repository. Follow docs/PUBLISHING.md: never publish real AWS account IDs, deployment URLs, customer/environment identities, resource IDs, operator profiles, or private evidence in documentation. Use fictional examples and private configuration. Run python3 scripts/check-public-docs.py before publishing documentation changes.

Epic and story authoring

Follow the canonical issue-authoring guide and its epic/story templates. Preserve native parent links and stable acceptance and scenario IDs; specify independent test assertions and relevant determinism controls. The Engineering Insights walkthrough provides filled examples and an optional offline format check.

Deployment

To deploy ADP, read and follow the canonical agent-deploy guide:

docs/adp-platform-deployment/deploy-with-agent.md

It is the single source of truth for the agent-behavior layer (confirm the target account, the phase table, the "placeholder artifact" rule, state file, verification, teardown, when to call the user). It in turn defers to docs/adp-platform-deployment/deploy-quickstart.md for the exact, verified commands.

The essentials, so you don't start down the wrong path:

  • Confirm the target AWS account first (aws sts get-caller-identity via the active AWS_PROFILE) and get the user's OK before Phase 1.
  • There is no upfront GitHub setup. GitHub is wired at the END for the agent path (UI flow: Settings → Connections → "Set up GitHub App"; or CLI fallback register-github-app.sh). Any "Phase 0 / setup-org / 3 org-owned apps" instruction is the superseded legacy ARC track — do not run it.
  • The full launcher chains core deployment stages, including broker, first-admin bootstrap, webhook, separate agent factory and final frontend publication. Follow the canonical guide for ordering and scope. GitHub App browser wiring comes after deployment.

The deployment instructions are intentionally a redirect so the procedure has one source of truth and never drifts across the agent-entry files.

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Your trail

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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.