Results for “context engineering”

…in ontologies for many years and is now combining that with AI engineering is Kingsley Idehen, who runs a company called OpenLink Software. He’s been building an “agent engineering stack” that uses Semantic Web technologies — including an…

…as a taste repository We have often talked about the software engineering triad of specs, test, and code. After my discussion with Dylan, I have adapted this to the design world through levels of composability instead: the full design, the …

…websites and IllustrationsSharing prompts Prompt engineering is an acquired skill that is still turning up surprising results like this and this in GPT3 land 3 years after release; it means LLMs have a large latent space of abilities (not…

…Your Reflections, Takeaways Apart from all the posts in the AI Engineering community and tags of @aidotengineer, these are the bigger reflections/recap posts we know of: swyx: AIEWF Day 1 on TBPNswyx: AIEWF Day 2 on ThursdAINLW: The Biggest…

…LLM calls tools in a loop, while carrying forward the required context. Since that’s easiest to implement locally, many coding agents started out as terminal tools and then desktop apps (Claude Code famously began as a CLI tool). But as the…

…[00:28:33] Non-Interactive Mode and Automation [00:36:09] Engineering Productivity Metrics [00:37:47] Balancing Feature Creation and Maintenance [00:41:59] Memory and the Future of Context [00:50:10] Sandboxing, Branching, and Agent…

…a benchmark that measures how well LLMs do at machine learning engineering. The self-improving trajectory through ML Engineering is driven by better algorithms, cleaner data, and more efficient memory usage: training-time self-improvement. …

…have the full talk to doubleclick into each stage and get more context!AI agents, meet Test Driven Development Historically with Test Driven Development (TDD), the thing that you're testing is predictable. You expect the same outputs given …

…to AGI we’ve ever been. It’s truly exceptional at software engineering, from one-shotting complex apps to solving really gnarly issues across a massive codebase. I wish the story was that simple. I wish I could tell you that it’s “just…

…weights that makes the agent work. The environment, tools, context and guardrails that surround the model. Without the harness the model is a brain in a vat. It can take an epistemic action, but needs the harness to actuate that decision in…

…Sponsored by Union.ai Build a sovereign AI factory The best engineering teams are building AI factories where they own and control not only their data, compute, and infrastructure, but also a durable runtime on their cloud. Union.ai gives…

…deploy commercially. Either way, I hope to provide some helpful context, pointers to code snippets, and specific details that will save you time. In places where code is useful, I'll link to Pipecat source code and examples, however the…