Results for “context engineering”

…own hiring plan! How to Hire AI Engineers James Brady, Head of Engineering @ Elicit (ex Spring, Square, Trigger.io, IBM) Adam Wiggins, Internal Journalist @ Elicit (Cofounder Ink & Switch and Heroku) If you’re leading a team that uses AI in…

…from AIE Europe in London, swyx identifies OpenClaw, harness engineering, and context engineering as leading priorities. His conference tracks reflect that judgment, alongside recurring work on evaluations, observability, compute…

…"Sorry, I..." to "Sure..." can also be effective. Many Shot In Context Learning with 20k tokens of high-quality, curated examples significantly improves model performance. Structuring prompts with tags like <resume/>, <instruction/>, and…

…to a frontend opening and joined around August 2022, combining engineering with product design. After ChatGPT launched, her manager challenged her to reproduce a similar interface in two weeks. Nguyen identifies that challenge as the origin…

…agents and MCP tasks for long-running workflows, with practical engineering patterns and integrations like Prefect. Booking.com deploys a large-scale agent system improving customer satisfaction using LangGraph, Kubernetes, GPT-4 Mini, and …

…internals. In the Latent Space conversation, Taylor describes engineering as the mindset behind his corporate and board roles; even as Salesforce co-CEO, he coded on weekends. His route to Google was less calculated than hindsight suggests.…

…range of production workflows, with tasks designed around how engineering and research work is actually carried out in practice. Some represent several days of work for an experienced engineer. In an ML infrastructure task, for example, the…

…GPT API directly. ChatGPT and Copilot hide some controls and context limits that application developers need to understand. His free introductory email course, Latent Space University, proceeds through API basics; prompts, tooling and…

…are not scalable, they can still be relevant in specific contexts. The concept of the "bitter lesson" was mentioned, indicating that computation often trumps encoding knowledge, but it doesn't rule out the utility of logical rulesets.…

…will an organization actually put to work? Swyx proposes AI engineering as a route for countries outside the US to participate without financing a $100 billion compute cluster. That distinction between building frontier capability and…

…Google unveiled its most capable model to date with a 1M-token context window (up to 1,048,576 input; 65,536 output), state-of-the-art multimodal reasoning, and strong agentic/vibe coding. Pricing (AI Studio): ≤200K tokens at $2M/$12M…

…OpenAI. Competition also raises expectations for GPT-5. Long context—the capacity to accept more input at once—and multimodality increasingly look like baseline capabilities to one participant. A new flagship would have to match competitors…