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reopt Handbook
reopt Handbook
Vercel Enterprise AI Platform

Platform Foundation

Platform ArchitectureAI SDK RuntimeAI Gateway Control Plane

Execution Runtime

Workflow Durable ExecutionSandbox Tool RuntimeMCP Enterprise DataQueues and Async Jobs

Prompt and Quality

Prompt Engineering and GuardrailsRAG and Retrieval-Augmented GenerationObservability and Evaluation

Operations

Security GovernanceCost and ReliabilityDeployment and AI CI/CD

Scenarios

Customer Support Agent ArchitectureInternal Research Agent ArchitectureApproval Backoffice AutomationCoding Orchestration

Orchestration Patterns

Graph-Centric OrchestrationPractical Orchestration PlaybookMulti-Agent Architecture

Appendix

Migration GuideReferencesVerificationUpdates
Handbook›Vercel Enterprise AI Platform›Coding Orchestration
한국어KOEnglishEN

Coding Orchestration

Orchestrate repo-aware coding agents from issue intake to tests and pull request drafts.

Written and reviewed by Eric Han · Co-founder & CTO, reopt

Key takeaways

  • Coding orchestration turns a vague issue into scoped work, a patch, verification evidence, and a reviewable pull request draft.
  • The workflow runs through intake, context, plan, implement, verify, and review stages, each with a defined output.
  • Run code in an isolated Sandbox and keep each agent's write scope narrow.
  • Require a final file list and command results, and never bypass human review for production changes.
  • Capture recurring workflows as reusable skills or templates.

Versioned agent instructions

Next.js 16.2 bundles version-matched docs at node_modules/next/dist/docs/. Managed instructions are enabled by default in 16.3+, created by create-next-app or updated by next dev when an agent is detected. Keep team rules outside the managed block and enforce required checks through CI and branch protection.

next-devtools-mcp discovers the development server and forwards runtime tools; browser verification is a separate CLI workflow. See AI agents and MCP.

Coding orchestration should turn a vague issue into scoped work, a patch, verification evidence, and a reviewable pull request draft.

Workflow

StageOutput
IntakeIssue, acceptance criteria, affected area
ContextRepo map, commands, ownership, constraints
PlanFiles to inspect or change
ImplementScoped patch
VerifyTests, build, lint, manual checks
ReviewDiff summary, risks, PR body

Runtime Rules

  • Use Sandbox for isolated code execution.
  • Keep write scope narrow for each agent.
  • Require final file list and command results.
  • Never bypass human review for production changes.
  • Feed recurring workflows into skills or templates.

Related docs

Agentic Development

Enterprise Project Architecture · Use AI agents in enterprise development with context packs, scoped tasks, and review gates.

Practical Orchestration Playbook

Apply orchestration patterns to triage, approval queues, alerts, and scheduled reports.

Cloud Tasks

Advanced Codex Usage · Use remote Codex tasks for parallel attempts, long work, and reviewable outputs.

Skills Ecosystem

Enterprise Project Architecture · Build reusable agent skills, commands, and documents for repeated engineering workflows.

Vibe Coding Patterns

Claude Code Complete Guide · Move quickly with Claude Code while preserving engineering control.

Approval Backoffice Automation

Automate backoffice work with explicit approval events, identity, and side-effect controls.

Graph-Centric Orchestration

Model AI workflows as state, nodes, edges, gates, and recovery paths.

On this page

Versioned agent instructionsWorkflowRuntime Rules