Developer shares practical AI coding workflow: paper first, then Fable/Opus for planning, Sonnet for implementation
A developer on Reddit outlines a structured AI-assisted coding workflow for full projects, emphasizing upfront planning on paper before involving any model. The pipeline uses Fable for planning, Fable/Opus to break work into markdown files, and Sonnet for implementation under a safety hook, contrasting with the common 'vibe coding in agent mode' approach.
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Developer seeks feedback on AI-assisted feature development pipeline
A developer shared a detailed 5-step assembly line for feature development using AI, where each step requires passing a checklist before proceeding. The process includes spec writing, plan review, and multiple reviewer passes for risky features. The post asks whether this approach is efficient or wastes tokens.
User reorganizes entire workflow around .md files and AI agents
A Reddit user describes a complete workflow transformation centered on markdown files and AI agents. They maintain a master .md for their entrepreneurial journey and separate files for work roles, projects, and budgets, with agents automating common tasks. The post reflects a growing trend of developers structuring their lives around plain-text files and AI integration.
Users share strategies to reduce iteration loops with Claude Code
A Reddit user describes a multi-step workflow to minimize back-and-forth with Claude Code for production-ready code, involving iterative plan refinement before code generation. The post highlights a common pain point of excessive iteration in AI-assisted coding.
Developer builds simple multi-agent workflow by copying outputs between Claude Code and Codex
A developer describes a low-tech multi-agent workflow where they manually copy outputs between Claude Code and Codex to get second opinions on code plans and PR reviews. The approach highlights the friction of coordinating multiple AI agents without native inter-agent communication.
GitHub repo distills Claude Fable 5 workflow into reproducible method for any model
A GitHub repository by Sahir619 distills the Fable Workflow used by Claude Fable 5 into a reproducible method (think/act/prove) that any model can run, including an evaluation to ensure honesty. The workflow is released under MIT license with a Claude Code plugin, enabling developers to replicate the approach across different AI models.
