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AI agents tackle large projects with multi-phase planning

A new approach for building large software projects with AI agents, like Claude Code, involves breaking down the development process into distinct phases. A "Planner Agent" first creates a MASTER_PLAN.md document that outlines all phases, file ownership, and dependencies. Subsequent agents then work on these self-contained phases, referencing the master plan as the single source of truth, which helps prevent agents from contradicting earlier decisions or losing context over long development cycles. AI

RANK_REASON This article describes a methodology for using AI agents in software development, rather than a new AI model or product release.

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AI agents tackle large projects with multi-phase planning

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  1. Towards AI TIER_1 English(EN) · Arijit Dutta ·

    Building Large Projects with Claude Code - A multi-phase implementation approach

    <figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*KPnErvFG-DgU0KE3Emd5Tw.png" /></figure><h4>The Real Problem: Implementation of Large Projects Strain Single-Agent Sessions</h4><p>A full-stack SaaS, a monolith legacy application, or a microservices backend with …