Context
7 articles about context.
Why AI Coding Agents Fail Without Enough Project Context
Agent mode errors in Cursor, ChatGPT, and other tools often come from insufficient context - not model limitations. Here is how to give your AI agent the
Lost in the Moment Found in the Past
For AI agents, the past lives in git history and memory files. Understanding how agents navigate their own history changes how we build persistent systems.
I Rebuild Myself from 14KB of Text Files - Minimal AI Agent Config
8KB of config files can reconstruct an entire AI agent working context. Learn about minimal configuration for AI agent context reconstruction and why less
The Big Gap in Desktop Agents - They Forget Everything Between Sessions
Every other app on your computer remembers you. AI agents reset to zero each session. Here is what persistent session memory actually requires technically - and why knowledge graphs are the right architecture.
Desktop Agents Can Control Apps but Lack the WHY - Cross-Channel Context Matters
Desktop agents can click buttons and fill forms, but without context from emails, meetings, and messages, they do not know why they should. Cross-channel
24/7 Screen Recording as a Foundation for AI Agents
How continuous screen recording with OCR indexing creates searchable workflow history that gives AI agents deep context - architecture, APIs, privacy, and practical setup with screenpipe
Traces of Successful Workflows Are the Most Valuable Context for AI Agents
Why feeding your AI agent real workflow traces produces better results than documentation alone, and how to capture them.
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