AGENTS.md Template for High Traffic Launch Readiness

Overview

AGENTS.md Template for high traffic launch readiness provides a concrete operating manual to manage AI coding agents across a live, scalable launch. It governs both single agent and multi-agent orchestration patterns, ensuring clear roles, handoffs, and governance during canary, ramp, and full-scale traffic. Direct answer: Use this AGENTS.md Template to establish a repeatable, auditable workflow for high traffic launch readiness that supports rapid decision making, reliable handoffs, and observable outcomes.

When to Use This AGENTS.md Template

Planning a new feature launch with anticipated traffic surges
Scaling an existing automation flow to handle canary and ramp stages
Introducing multi-agent orchestration where risk must be contained and auditable
Standardizing handoffs between planner, implementer, tester, reviewer, and domain specialist agents
Enforcing tool governance, secret handling, and production safeguards

Copyable AGENTS.md Template

# AGENTS.md

Project role
- Launch Reliability Lead (LRL): oversees multi-agent orchestration for high traffic launch readiness, ensures governance, and coordinates escalation.

Agent roster and responsibilities
- Planner: defines launch criteria, traffic ramp strategy, canary plan, and success metrics.
- Implementer: translates planner decisions into executable actions, builds artifact flows, and wires integrations.
- Tester: conducts automated and manual tests, validates canary results and rollback criteria.
- Reviewer: validates outputs, security, and compliance before promotion.
- Domain Specialist: provides expert guidance for critical domains (routing, security, data integrity).
- Orchestrator: central supervisor that sequences agent actions, manages state, and triggers handoffs.

Supervisor or orchestrator behavior
- The Orchestrator maintains a single source of truth for context, routes work between agents, and enforces memory of past decisions.
- It issues explicit signals for handoffs and requires acknowledgments from receiving agents.

Handoff rules between agents
- Planner to Implementer on plan approval with clear acceptance criteria.
- Implementer to Tester when build is ready for validation.
- Tester to Reviewer after test results reach confidence thresholds.
- Reviewer to Orchestrator when promotion to production is approved.
- Domain Specialist can intervene at any stage for risk assessment.

Context, memory, and source-of-truth rules
- Central context persists in a dedicated knowledge store; agents must reference this store before acting.
- All decisions are logged with timestamps and agent identifiers.
- Source of truth includes feature flags, traffic rules, and canary metrics.

Tool access and permission rules
- Agents access only approved tools via the orchestrator.
- Secrets are retrieved from a vault per least-privilege policy; rotation is mandated.
- Production services require approval gates via the Orchestrator.

Architecture rules
- Use a layered architecture: Planner & Orchestrator control plane, Implementer and Domain Specialist for data plane actions, Tester for validation.
- Idempotent actions; retries must be bounded and logged.

File structure rules
- Maintain a single project folder with explicit subfolders for planners, implementers, testers, reviewers, domain specialists, and orchestrator artifacts.

Data, API, or integration rules when relevant
- All data interactions must go through the orchestrator and be logged.
- API keys and secrets stored securely; no plaintext in code.

Validation rules
- All outputs must satisfy defined success criteria and be verifiable by tests and dashboards.

Security rules
- Enforce least privilege, strong secrets management, and audit trails.
- Sensitive data handling follows policy, with masking and access controls.

Testing rules
- Include unit, integration, and end-to-end tests; test canary and rollback scenarios.

Deployment rules
- Use canaries and feature flags; rollback must be immediate on failure.

Human review and escalation rules
- Critical decisions require human review at defined thresholds; escalation paths are pre-defined and logged.

Failure handling and rollback rules
- Rollback procedures must be executed automatically if metrics breach thresholds; all steps must be reversible.

Things Agents must not do
- Do not modify production configurations outside gates; do not bypass canary checks; do not share secrets in logs.

Recommended Agent Operating Model

The operating model defines roles, decision boundaries, and escalation. The Orchestrator coordinates the Planner, Implementer, Tester, Reviewer, and Domain Specialist, while preserving a strict memory of context and decisions. Handoffs occur only when criteria are met, with explicit acknowledgment from the receiving agent.

Recommended Project Structure

project-launch-readiness/
├── agents/
│   ├── planner/
│   ├── orchestrator/
│   ├── implementer/
│   ├── tester/
│   ├── reviewer/
│   └── domain-specialist/
├── artifacts/
├── configs/
├── integrations/
├── infra/
├── data/
├── docs/
└── scripts/

Core Operating Principles

Decision boundaries are explicit and auditable.
Handoffs require acknowledgement and context sharing.
Guardrails enforce tool governance and security.
All actions are traceable to a source of truth.
Failures trigger safe rollback and human review.

Agent Handoff and Collaboration Rules

Planner sets criteria; Implementer translates into actions with traceable inputs.
Orchestrator ensures state is shared; each handoff requires context update and confirmation.
Tester validates outputs against success metrics before promotion.
Reviewer approves only after security and compliance checks.
Domain Specialist provides risk assessment when needed.

Tool Governance and Permission Rules

All tool invocations pass through the Orchestrator; direct tool use by agents is prohibited unless authorized.
Secrets are accessed via a vault with strict rotation and least privilege.
Production endpoints require explicit approval for edits; access is logged and auditable.

Code Construction Rules

Ensure idempotent builds and deterministic outputs.
Validate changes against canary and traffic ramp policies before promotion.
Avoid duplicating work; reuse shared components and templates where possible.

Security and Production Rules

Protect secrets; never hardcode credentials.
Enforce encryption in transit and at rest for all data flows.
Monitor for anomalous actions and implement alerting for security incidents.

Testing Checklist

Unit tests for each agent function.
Integration tests for inter-agent handoffs.
End-to-end tests including canary scenarios and rollback.
Traffic simulations to verify performance under load.

Common Mistakes to Avoid

Skipping explicit handoffs or memory sharing between agents.
Bypassing governance or security checks for speed.
Ignoring canary criteria and relying on optimistic assumptions.

FAQ

What is the purpose of this AGENTS.md Template?

This AGENTS.md Template provides a repeatable, auditable operating manual for high traffic launch readiness, including multi-agent orchestration, handoffs, and governance.

Who should own this AGENTS.md Template in a project?

A Launch Reliability Lead or Platform Reliability Engineer should own and maintain the AGENTS.md Template, with responsibility for governance and escalation.

How do we handle agent handoffs during a launch?

Handoffs are triggered by explicit criteria, require context transfer to the receiving agent, and are acknowledged by the recipient before proceeding.

What are the security requirements in this workflow?

Secrets must be stored in a vault, access granted by least privilege, and all actions logged for audit and incident response.

How is failure handled in this template?

Failures trigger an automatic rollback, a canary re-run, and a human review to decide next steps. All steps are reversible when possible.

Target User

Use Cases