Blog

How Spec Driven Development fixes Vibe Coding's failure modes by building an engineered memory — structured specs, a shared repo layout, and AI-era code review.

The three compounding problems that make AI-powered development fail — and their solutions: shared language, feedback loops, and intentional code design.

An in-depth developer's guide to mastering Claude Code: CLAUDE.md guidelines, memory management, subagent isolation, parallel sessions, compaction strategies, and hooks automation.

Learn the discipline of building the systems, constraints, and infrastructure around an AI model to make it reliable and useful in production.

A practical guide detailing key strategies to fix and prevent context failures in LLMs, including RAG, tool loadouts, and session management commands.

An in-depth guide to context optimization, managing session compaction, and mitigating context failure modes like rot and distraction.

A practical guide covering the top 6 prompting techniques, long-context best practices, and security measures — with real-world examples.

Learn how to use the Caveman Method to force AI agents to respond with maximum efficiency and zero filler.

A brief overview of Recursive Language Models (RLMs) and how they solve the Context Rot problem.

An in-depth analysis of the Gemini CLI's multi-agent routing system using raw request/response logs.

Learn how to use mitmproxy to intercept and analyze the actual payloads sent to Large Language Models.

A simple English guide on how the AI agent terminal sandbox protects your computer from rogue code sabotage.