Results for “context engineering”

Context Engineering for Agents - Lance Martin, LangChain Latent.Space

Context Engineering for Agents: What to Keep, Retrieve, and Rebuild A research agent’s growing tool history turns context into an engineering problem—one that reaches into retrieval, multi-agent coordination, memory, and the architecture…

Harness Engineering, Part 2 of 2: Evidence, Context, and Control Part 2 follows coding agents from demonstrating a change to working inside an enterprise—and asks which harness investments will remain useful as models improve.

[AINews] Context Engineering: Much More than Prompts Context Engineering emerges as a significant trend in AI, highlighted by experts like Andrej Karpathy, Walden Yan from Cognition, and Tobi Lutke. It involves managing an LLM's context…

"RAG is Dead, Context Engineering is King" — with Jeff Huber of Chroma What actually matters in vector databases in 2025, why “modern search for AI” is different, and how to ship systems that don’t rot as context grows.

…current AI capabilities and practical utility in professional engineering contexts. Full summary is here. Paper here. Benchmark Limitations: Commenters argue that increased benchmark performance does not translate to real-world utility, as …

From reasoning benchmarks to the whole software engineering job Why reinforcement learning’s uneven generalization makes workflow context, product design, and learning from mistakes central to Cursor’s ambitions.

…challenges and reported performance issues, the manipulation of contexts and structured prompting stood out as keys to improving output quality. Prompt Engineering: Tackling Language and Logic: Focusing on nuanced use cases such as…

…Daigle describes an AI workflow that gathers this scattered context, reconstructs the messaging, and recommends adjustments for the next three or four days. Look backward to improve the next few decisions is his preferred loop: identify…

…inspectable collaborators rather than opaque magicians. ManusAI Context Engineering & Agent Workshops Go Deep: In Latent Space, Lance Martin shared a ManusAI deep dive on context-engineering and agent design, including slides and a webinar …

…testers succeeding at that experiment. It makes the opening engineering question concrete: when does maintaining a retrieval pipeline cost more than sending the material directly? If an application’s model already works well enough, falling…

OpenAI DevDay, Part 1 of 4: Managed State, Shared Context, and the Cost of Control Part 1 follows developers from simpler conversation APIs and custom GPTs to tool execution, expressive speech, and the unresolved engineering questions…