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AI Development Workflows

Blog posts related to AI Development Workflows

Isometric diagram showing AGENTS.md as the central standard for AI coding tools like Cursor and Copilot, with a symlink workaround connecting to Claude Code via a CLAUDE.md file.

AGENTS.md vs CLAUDE.md: The AI Developer's Guide to Context Standards

AGENTS.md is the emerging open standard for AI coding agents. Here's how it compares to CLAUDE.md, when to use each, and how to run both without drift.

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Faded terminal window passing a glowing amber document labeled rehydration payload to an active second terminal window

Why Long-Running AI Agents Forget: A Session Context Strategy

Long-running AI agents lose context over time. The fix isn't bigger context windows. It's a curated handoff between coding sessions. Here's the protocol.

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Split screen of a worried developer with chaotic data across multiple screens vs a calm developer with a tidy workflow

LLM Context Window Optimization for Developers: Stop Dumping Code, Start Sending Signal.

Stop copy-pasting code into LLMs. Learn how to build surgical, token-optimized context from your codebase, specs, and prompt library — without leaking secrets.

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Four-layer isometric stack with solid bases for CLAUDE.md and MEMORY.md, topped by a glowing layer receiving data streams

CLAUDE.md vs AGENTS.md: The 4-Layer AI Coding Memory Stack

Resolve the claude.md vs agents.md overlap. Separate your repo rules, session memory, skills, and per-task context into a clean 4-layer stack.

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