The Architect’s Guide to Vibe Coding: Taming AI Context Windows

To build a reliable AI coding environment, using all 11 files together creates an incredibly robust system, but they are not all strictly required for every single project.

The number of files you need is a sliding scale based on the complexity of the software. For a simple script, 11 files create unnecessary overhead. However, when coordinating complex orchestration logic—like integrating a React frontend with a Kafka event queue or building a multi-tenant application—this full suite acts as a highly disciplined context management system.

If you choose to use all 11, it helps to understand that some of these files overlap or work hierarchically. Here is how the complete ecosystem fits together into four distinct layers:

1. The Strategic Layer (What and How)

These files rarely change once the project begins. They set the boundaries.

• prd.md: Defines the business logic, user personas, and core features.
• architecture.md: Maps the system topology. This is critical for defining event-driven boundaries, service communication, and cloud deployment constraints.
• design.md: Locks in API contracts, database schemas, and the UI/UX design language.

2. The Execution Layer (The Roadmap)

These files break the strategy down into actionable steps. They often overlap; you can use them hierarchically.

• phases.md: The macro-level milestones (e.g., Phase 1: Core Authentication, Phase 2: Microservices Migration).
• implementation_plan.md: The micro-level checklist for the current phase. When Phase 1 is done, this file is rewritten for Phase 2.

3. The Governance Layer (The Guardrails)

These files force the AI to write high-quality, verified code.

• rules.md / .cursorrules: The absolute laws of the codebase (e.g., strictly enforcing specific LangGraph agent state management or FastAPI conventions).
• testing.md: The criteria for unit and integration testing.
• audit.md: The prompt used to force the AI to review its own work against the rules.md and implementation_plan.md before finalizing a feature.

4. The Ephemeral Layer (The Active State)

These files change daily or even hourly. They act as the AI’s short-term memory, preventing context window pollution.

• task_today.md: The immediate, hyper-focused directive for the current session.
• bugs.md: The scratchpad for tracking current errors and failed fix attempts.
• memory.md: The chronological ledger of architectural trade-offs, edge cases discovered, and context the AI needs to carry forward into future sessions.

The Verdict: Do you need all 11?

• For MVP Prototyping: No. You can usually survive on just prd.md, implementation_plan.md, rules.md, and task_today.md.
• For Enterprise Systems: Yes. When building agentic workflows, orchestrating microservices, or managing a large multi-stack monorepo, combining all 11 ensures the AI agent does not degrade the codebase or hallucinate architecture as the project scales.