Task Decomposition for Multiple Coding Agents
Split software work into independently verifiable outcomes, stabilize shared contracts, model producer-consumer dependencies, and launch only the coding-agent tasks that are genuinely ready.
Writing
Notes on AGENTS.md, context engineering, and the failure modes that taught us each lesson.
View repository-harness on GitHub Start with agent-ready repositories
How to Prepare Your Repository for OpenAI Codex in 2026
Configure Codex with layered AGENTS.md instructions, trusted project settings, sandbox and approval boundaries, executable rules, repository skills, MCP servers, and clean-session proof.
How to Prepare Your Repository for Claude Code in 2026
Use CLAUDE.md as the Claude Code entry point, import portable AGENTS.md instructions, scope local rules, share project settings, enforce hard boundaries with permissions and hooks, and verify everything in a clean session.
AGENTS.md vs Cursor Rules: What Should Your Repository Use in 2026?
Modern Cursor supports both portable AGENTS.md files and version-controlled .mdc Project Rules. Learn how to split shared repository truth, scoped Cursor workflows, Cloud Agent setup, and executable policy.
How to Resolve Merge Conflicts Between Coding Agents
Resolve textual, contract, generated-output, behavior, migration, and authority conflicts with stable checkpoints, explicit ownership, source-first repair, and combined proof.
How to Integrate Changes from Multiple Coding Agents Safely
Combine Claude Code, Codex, Cursor, and other agent branches in dependency order with contract gates, rollback checkpoints, combined validation, and reproducible evidence.
Git Worktrees for Multiple Coding Agents: Isolation, Integration, and Cleanup
Run Claude Code, Codex, Cursor, and other coding agents in isolated worktrees with bounded scopes, stable checkpoints, dependency-aware integration, and safe cleanup.
Coding-Agent Handoff Template: Transfer Work Between Claude Code, Codex, and Other Agents
Transfer coding work through a stable checkpoint, explicit contract changes, reproducible evidence, honest omissions, residual risks, and one verifiable next action.
How to Manage Multiple Coding Agents in One Repository
Use one canonical repository contract, thin tool adapters, bounded task scopes, isolated worktrees, and evidence-based integration across Claude Code, Codex, Cursor, and Copilot.
Hiểu toàn bộ `codex-room-setup` từ gốc đến ngọn
Tài liệu dành cho người mới tiếp cận codex-room-setup: thành phần nào chịu trách nhiệm việc gì, một thay đổi đi qua hệ thống ra sao, và nên điều chỉnh ở đâu.
How to Set Up a Four-Role Codex Room
Install an isolated Supervisor, Lead, Peer, and Review Codex room through Paseo: share one operator login, keep four runtimes apart, and leave ~/.codex under the operator’s control.
How to Migrate an Existing Repository to a Coding-Agent Harness
A low-risk migration sequence for adding repository routing, bounded tasks, source-of-truth maps, validation contracts, evidence handoffs, and safe recovery to an existing codebase.
OpenAI Harness Engineering Explained for Any Coding-Agent Repository
Translate OpenAI’s agent-first harness engineering idea into vendor-independent repository context, bounded tasks, executable feedback loops, durable state, and evidence-based handoffs.
Repository Harness Patterns: A Pattern Language for Reliable Coding Agents
Nine reusable patterns turn repository context into an operating system for agent work: routing, task boundaries, decision memory, proof, handoff, checkpoints, and safe recovery.
Coding-Agent Failure Modes: A Taxonomy for Diagnosing Repository Context Gaps
Stop calling every bad agent session a hallucination. This taxonomy traces ten repeatable failure modes to the first wrong decision, the missing controller, and a durable repository repair.
Why Coding-Agent Prompts Fail When Context Lives Only in Prompts
A better prompt can rescue one task. Durable repository context improves every task that follows. Learn what belongs in prompts, what belongs in the repo, and how to migrate repeated corrections.
The Five Layers of Coding-Agent Context: A Diagnostic Framework
A coding agent draws from task, session, repository, decision-history, and model context. This diagnostic framework shows which layer failed—and where the fix belongs.
AGENTS.md Before and After: A Real Repository Case Study
See how repository-harness evolved AGENTS.md from a 75-line operating manual into a 32-line routing layer with explicit authority, planning, validation, and handoff rules.
Agent-Readiness vs Code Quality: What Coding Agents Actually Need
Code quality and agent-readiness overlap, but they solve different problems. Learn what AI coding agents need beyond clean code, tests, and maintainable architecture.
How to Audit a Repository for Agent-Readiness
A practical audit checklist for finding the gaps that make Claude Code, Codex, Cursor, and other coding agents fail inside a repository.
AGENTS.md for Backend/API Repos vs Frontend Repos
Backend and frontend repositories need different AGENTS.md instructions. This guide shows what to include for APIs, services, UI apps, design systems, and full-stack projects.
How to Maintain AGENTS.md as Your Repository Evolves
AGENTS.md is not a one-time setup file. This guide shows when to update it, what to review, and how to keep coding-agent instructions aligned with tests, architecture, tools, and releases.
10 AGENTS.md Mistakes That Break Coding Agent Sessions
Most AGENTS.md files fail because they are too vague, stale, or unverifiable. Here are 10 mistakes that break Claude Code, Codex, Cursor, and other coding agents — and how to fix each one.
10 Real-World AGENTS.md Examples (With Analysis)
Ten real AGENTS.md files from public open-source repositories, each annotated for what works, what does not, and what to copy. The fastest way to learn AGENTS.md is to read the best ones.
Coding-Agent Context Files in 2026: AGENTS.md vs CLAUDE.md
A current, official-docs comparison of AGENTS.md, CLAUDE.md, Cursor Rules, Copilot instructions, GEMINI.md, Aider, and OpenCode — including discovery, precedence, and a one-contract migration plan.
Coding Agents Need Better Repositories, Not Just Better Prompts
Most coding-agent failures are not model failures. They are repo-context failures. Better prompts help. But repositories need instructions, architecture context, and validation rules.
Context Engineering for Coding Agents: A Practical Repo-Level Guide
Context engineering for coding agents means shaping the repo environment so agents receive durable, relevant context before they write code. Here is how to apply it.
How to Write an AGENTS.md That Actually Works
Most AGENTS.md files nobody reads. Here is how to write one that coding agents actually use — specific, concise, and validated by real sessions.
What Is an Agent-Ready Repository?
An agent-ready repository gives coding agents the instructions, architecture context, validation rules, and decision history they need to make useful, reviewable changes.
AGENTS.md Template
A practical template for agent-ready repositories — copy and adapt for Claude Code, Codex, Cursor, and other coding agents.
Supported harness patterns
A working harness combines tests, docs, scripts, conventions, fixtures, examples, and decision records.