Results for “context engineering”

…the absence of established rules due to evolving models and contexts. Channel Purpose and Engagement: Discussions hinted at the channel focusing more on conversational uses of AI rather than strictly prompt engineering, which may dilute the…

…need them,” citing simple arithmetic as an example. Company context before generation In his Training Data interview, Jain explained enterprise search as more than matching a question to documents. Glean combines integrations with company…

…update: MIT-licensed, MoE 355B total/32B active, now with 200K context. Independent evals report +5 pts vs 4.5 in reasoning mode (56 on AAI), better token efficiency (−14% tokens at similar quality), and broad API availability (DeepInfra…

…agents that can change data inside software systems. AI engineering surveys and agent controls Yaron authored Amplify’s 2025 AI Engineering Report, published June 24, 2025, and its 2026 report, published July 2, 2026. The latter surveyed…

…but definitely helpful — for sure every founder building a data/context engineering product will go to them and say they got the people who coined Context Graphs on their cap table. But the problem with the post is that it promises a whole …

…as @beyang. His AI coding work includes explaining Cody’s context architecture, advocating for open developer tools, and coauthoring research on retrieving and evaluating code recommendations. Amp’s December 2, 2025 founding announcement…

…and user preference between these AI models without additional context provided. Google's TPU infrastructure is highlighted as a cost-effective option, with some users preferring a combination of different models for specific tasks, such as…

…can contain everything needed for one query while excluding context needed for another, and suggests grep as an alternative. Its proposed scaling advantage remains a conjecture. The shared recommendation is to make semantic search one tool …

…like gpt-4o, potentially as simple as optimizer = dspy.GEPA. Context Engineering Defined in New Blogpost: Drew Breunig presented a talk on the importance of context engineering and summarized it in a blog post after an MLSys DSPy talk…

…to ChatGPT's audience: users can delegate tasks with access to context and tools, then supervise execution. But an unrestricted prompt box gives little guidance about what to attempt. Akshay argues that the interface must start with tasks…

…due to context issues (he observed it hitting “0% context”). Reality check from Karpathy: @karpathy pushes back on the idea that models can already do open-ended closed-loop AI engineering reliably: they can chase spurious 1% wins with big …

…of safety testing to focus on what the system can do. The first engineering boundary is where the model belongs in execution. A participant relays a secondhand account of a Scale AI hackathon winner that used GPT as a backend: the simple…