Context Engineering for AI Agents: Part 2

kept by eddie dec 05, 25

Manus and LangChain share production strategies for AI agents: compact context to prevent rot, isolate sub-agent contexts, keep tool sets small, and treat agents as tools rather than building complex scaffolding.

Context plumbing (Interconnected)
Matt Webb argues that effective AI agents require continuous, pre-planned movement of context from creation to use, akin to plumbing.
also on #context-engineering, LangChain, #ai-agents, #developer-tools
Welcome to the Machine, a guide to building infra software for AI agents - me.0xffff.me
Infrastructure software must shift from human-centric design to AI-agent-centric design, emphasizing stable mental models, disposable workloads, and extreme cost efficiency.
also on Manus, LangChain, #ai-agents, #software-engineering, #developer-tools
Agent design patterns
The piece outlines context-management design patterns for AI agents, including giving agents a computer, progressive disclosure, offloading, caching, sub-agents, and evolving context.
also on Manus, #ai-agents, #software-engineering, #developer-tools
Open SWE: An Open-Source Framework for Internal Coding Agents
LangChain releases Open SWE, an open-source framework for building internal coding agents that mirrors patterns from Stripe, Ramp, and Coinbase production deployments.
also on LangChain, #ai-agents, #ai-coding, #software-engineering, #developer-tools
Agents Should Be More Opinionated
Building opinionated agents that limit user choices and optimize for specific tasks produces far more reliable outcomes than flexible, general-purpose designs.
also on LangChain, #ai-agents, #ai-coding, #software-engineering, #developer-tools