Results for “context engineering”

…delving into AI, which could be of significant interest to engineering aficionados. The podcast episode is accessible here. BUD-E Buzz: BUD-E, an empathetic and context-aware open voice assistant developed by LAION, could signal a new…

…for granted. Further improvement would depend more on difficult engineering across chips and systems, increasing the value and potential pricing power of companies capable of doing it. Nvidia’s advantage is framed as system-wide expertise…

…cost dominates. Agents, RL-for-coding, and the emerging “context engineering” discipline Self‑Play SWE‑RL: self-improving coding agents via bug injection + fixing: A highlighted direction is agents that generate their own training signal by…

…it with consequential work. The team translated software engineering practices into observable behaviors that evaluators could grade: - Communicate progress: keep the developer informed while work is underway. - Plan when appropriate:…

…human-in-the-loop, only 0.8% appear irreversible, and software engineering is ~50% of tool calls on their API—framed as “autonomy is co-constructed by model + user + product,” motivating post-deployment monitoring (Anthropic, metrics,…

…2026, contributed its published work on agent architecture and context engineering. Wu introduced Devin on March 12, 2024. It combined planning and context recall with a shell, code editor and browser inside a sandboxed compute environment.…

…brewing over the development of Gemini for managing ultra-long contexts and hopes for AI tools to automatically summarize new academic papers citing one's work. The conversation also covered the limitations of prompt engineering and the…

…development through stronger reasoning, better understanding of engineering nuances, and longer context. GPT-4-level agents’ limits remained uncertain. The forecast was that future models could handle almost any reasonably well-scoped…

…performance, dual-mode reasoning (think/no-think), and long context capabilities. The team published a detailed "engineering blueprint" explaining the development process. MLX saw day-zero support, with @awnihannun noting it's "blazing fast…

…of academic and open-source work. That earlier history supplies context for its combination of distributed processing, analytics, and machine learning. Berkeley origins, 2009–2016 Matei Zaharia started Apache Spark during his Berkeley Ph.D.…

…probably has a good list of the top 6: Putting Repo state in Context (eg recent commits, git branch info) Aggressive cache reuse Custom Grep/Glob/LSP (standard in industry) Claude code has less than 20 tools default on (up to 60+ total):…

…founded a video-categorization company and led research and engineering organizations at Axon, OpenAI and Google. Those earlier roles provide context for his views on AI governance, scaling and the allocation of research resources. Earlier …