Context Management and MCP

kept by eddie feb 03

The article argues that MCP's value is in steering agents with rich context descriptions, that progressive disclosure is counterproductive, and that subagents may better manage context rot.

MCP, Skills, and Agents
Skills and MCP tools serve different but complementary purposes for coding agent harnesses, and neither replaces the other despite hype cycles claiming otherwise.
also on Sentry, GitHub, #ai-agents, #user-experience, #software-engineering, #developer-tools
Coding sessions in Linear – Changelog
Linear Agent can now write and review code using Claude Code and Codex, enabling end-to-end issue-to-ship workflows from within Linear.
also on Sentry, GitHub, #ai-agents, #developer-tools
GitHub vs Vercel vs Replit: What Dev Platforms Do When AI Code Is Cheap
As AI code generation becomes cheap, GitHub, Vercel, and Replit are shifting focus to orchestration, production deployment, and verification to capture value in software development.
also on MCP, GitHub, #software-engineering, #developer-tools
You Need to Rewrite Your CLI for AI Agents
CLIs must be redesigned for AI agents as primary users, prioritizing raw JSON payloads, schema introspection, input hardening, and safety rails over traditional human discoverability.
also on MCP, #cli, #ai-agents, #user-experience, #software-engineering, #developer-tools