swyx 🇬🇧@swyx

2026-04-07 22:03·86天前

AI 摘要

AI Engineer Europe Build Day公布六大技术分论坛，聚焦AI工程前沿实践。议程涵盖Personal Agent（Claw）个人代理、Context Engineering长上下文管理、Harness Engineering代理性能优化、Evals & Observability评估体系、Voice & Vision语音视觉多模态，以及Gemini专场。从OpenClaw到Google DeepMind，内容涉及RAG、TTS、ASR、WebMCP等技术方向，呈现AI工程从提示词向复杂代理系统演进的最新趋势。

i'm being asked for oneliner descriptions of each track， so here goes （pushback/improvements welcome）：

Claw track： This is the year of the personal agent - many people have been dreaming of a personal AI， from being a friend to an executive assistant. @steipete's OpenClaw created the category， and we've gathered maintainers and Claw competitors to preview what's next！

Context Engineering： LLM context lengths grow from 4000 to 1 million tokens， our jobs went from prompting to RAG to search to ever more complex context management for agents. This is the track for everyone who's watched @dexhorthy's keynotes and stressed about getting in the dumb zone.

Harness Engineering： The most exciting discovery in agent engineering is that harnesses are more responsible for variations in performance than the LLMs they build on. @_lopopolo ignited this category with the most extreme version of the dark factory harness we've ever seen， but here we have many of the best harness engineering ideas of 2026.

Evals & Observability： All serious AI engineering starts with evals & observability - you only get paid for what you can reliably maintain and improve. We are proud to feature perspectives from eval platforms like @braintrustdata_， LLM researchers like @maximelabonne， and benchmark authors.

Voice & Vision： The first of our multimodal AI tracks focus on voice and vision AI， the first modalities humans had before the invention of writing. This is the track to catch up on TTS， ASR， OCR， and all the other usecases from the @elevenlabs decacorn to @mistralai's new model to @meetgranola to @huggingface and more！

Gemini： Last but certainly not least， London is home to @googledeepmind who have an amazing team of engineers， PMs， and researchers with updates on open models， evals， agents， WebMCP， and even a special presentation on Text Diffusion models！

swyx 🇬🇧@swyx · X

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2026-04-07 22:03·86天前

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AI 摘要

i'm being asked for oneliner descriptions of each track， so here goes （pushback/improvements welcome）：

Claw track： This is the year of the personal agent - many people have been dreaming of a personal AI， from being a friend to an executive assistant. @steipete's OpenClaw created the category， and we've gathered maintainers and Claw competitors to preview what's next！

Context Engineering： LLM context lengths grow from 4000 to 1 million tokens， our jobs went from prompting to RAG to search to ever more complex context management for agents. This is the track for everyone who's watched @dexhorthy's keynotes and stressed about getting in the dumb zone.