All Insights

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Amp says AI coding agents are dead, kills extensions

Amp is moving beyond editor sidebar “agents,” arguing newer coding models don’t need heavy wrappers. It’s retiring its VS Code and Cursor extensions on March 5 at 8pm PT, while keeping the Amp CLI as the main interface—for now.

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LangChain shows harness tweaks can supercharge coding agents

LangChain says it boosted its deepagents-cli score on Terminal Bench 2.0 from 52.8% to 66.5%—without changing the underlying model. The gains came from “harness engineering”: tighter prompts, smarter middleware, trace-driven iteration, and a better verify loop.

Passive AGENTS.md Docs Beat Skills in Vercel's Next.js 16 Tests

Passive AGENTS.md Docs Beat Skills in Vercel's Next.js 16 Tests

Vercel's evaluation shows embedding a compressed docs index in AGENTS.md let agents achieve 100% pass rates on Next.js 16-specific coding tests, outperforming on-demand skills. Passive context removed invocation and sequencing fragility while an 8KB index kept prompt size manageable.

The 80% Problem: How AI Agents Are Shifting Developer Workflows

The 80% Problem: How AI Agents Are Shifting Developer Workflows

A recent piece by Addy Osmani takes a closer look at developers handing most code to AI agents and the hidden cost of “comprehension debt.” He warns faster generation can create a new review bottleneck and outlines when agent-first workflows make sense.

Inside OpenAI's Codex CLI Agent Loop: Streaming, Tools, and Caching

Inside OpenAI's Codex CLI Agent Loop: Streaming, Tools, and Caching

An engineering write-up explains how OpenAI's Codex CLI runs an agent loop: it builds structured prompts, streams Responses API output, executes local tools (like shell commands), appends results, and re-queries the model until completion. It also outlines prompt caching, stateless requests, and …

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