https://www.youtube.com/watch?v=qNymWffkcgc Need to create Product Requirements Document as a markdown
Then Claude can produce a Taskmanager.md file that can it can use to build subagents
This video details a developer’s journey to overcome “errors and hallucinations” encountered while using Claude Code for a project, attributing these issues to an improper setup and inefficient workflow. The speaker shares a structured approach that significantly improved his productivity and clarity. The Problem: Initially, the developer encountered numerous issues when transitioning his project from Bolt.new to Claude Code. His primary challenge was Claude’s tendency to generate errors and “hallucinate” incorrect solutions. He realized the core problem stemmed from:
- Improper Setup: Not correctly initializing Claude with the project’s foundational documents.
- Context Overload: Working on multiple, diverse tasks within a single chat window, leading to the context window filling up and Claude losing track of previous instructions or making conflicting changes (“fix one thing, another broke”). This self-created “havoc” resulted in significant frustration and inefficiency.
The Solution: A Structured Workflow The speaker outlines a multi-step workflow designed to leverage Claude Code effectively and avoid common pitfalls:
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Product Requirements Document (PRD.md): Importance: This is the foundational “blueprint” of the entire project. It contains the product vision, strategic alignment, user problems, market analysis, functional requirements (MVP), and detailed API specifications. Action: Ensure your comprehensive PRD is placed directly into your project directory before you even start with Claude Code’s initialization. This document serves as Claude’s “vision” for the project.
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Claude Initialization (
**CLAUDE.md**): Command: After the PRD is in place, use the/initcommand within Claude Code. Result: Claude Code will generate aCLAUDE.mdmarkdown file. This file provides guidance for Claude on how to interact with your specific repository, including main commands, tech stack overview, project structure, authentication flow, data management, AI integration details, and environment configurations. This helps Claude understand the project’s technical landscape. -
Task Manager (
**TASKMANAGER.md**): Generation: Once the PRD andCLAUDE.mdare correctly set up and understood by Claude, you can then prompt Claude to create aTASKMANAGER.mdfile. Purpose: This file is crucial for tracking all development tasks, derived directly from the PRD. It allows for organized progress tracking and ensures Claude is aware of the current state of each task. -
Session Management & Sub-Agents: Multi-Terminal Setup: The speaker recommends using multiple terminal windows within VS Code, each dedicated to a specific sub-agent (e.g., “busi” for business intelligence, “infra” for infrastructure, “ai_acc” for AI accuracy analysis).
**start-session**Command: When you begin working on a specific task related to a particular sub-agent, use the/start-sessioncommand in that agent’s dedicated terminal. This command tells Claude to load the relevant context (like theTASKMANAGER.mdandPRD.md) and focus on tasks for that specific sub-agent.**end-session**Command: Once a task or a set of related tasks within an agent’s session is complete, use the/end-sessioncommand. This command saves all the accomplishments to theTASKMANAGER.mdand clears the Claude chat context for that specific agent. Benefits: This granular session management prevents context overflow, reduces hallucinations, ensures all progress is recorded, and allows you to pick up exactly where you left off the next day. It allows different parts of your project to be worked on by dedicated “minds” (sub-agents) without confusing the main Claude instance.
Outcome: By implementing this structured workflow, the speaker experienced a significant improvement in efficiency, reduced errors, and gained clear visibility of his project’s progress. He emphasizes the importance of spending dedicated time (even a few days) on developing this organizational workflow before diving deep into coding, as it ultimately saves time and prevents frustration. His project, Easyflip.ai (an AI-powered resale automation app), is now on track for launch in 30-45 days, a feat he attributes directly to adopting this methodical approach.