Wrapped up the 3-day AI Engineer conference in London. Key takeaways: Planning & verification > implementation. Humans define what to build …

Wrapped up the 3-day AI Engineer conference in London. Key takeaways: Planning & verification > implementation. Humans define what to build and validate it works. AI handles the coding. The harness matters. Terminal bench showed wrapping/orchestrating an LLM changes output quality dramatically. (claude code was one of the worst performing harnesses!) Parallel multi-agent systems aren't common yet. Factory (Droid) runs parallel agents in read mode only — writes are serialized for testability. (they should try mcp_agent_mail (https://github.com/Dicklesworthstone/mcp_agent_mail) cc @doodlestein ) Bottom line: everyone's still figuring this out. No one's cracked consistently high-quality AI-assisted software yet — and that's because these tools are evolving incredibly fast. A big thank you to @swyx and the rest of the @aiDotEngineer team for organizing this event!

Day 1 of @aiDotEngineer in London – what a ride! 🤖 Ash Prabaker & Andrew Wilson from Anthropic on 'How to Build Agents That Run for Hours (…
Here is my free workshop on building multi-agent systems, I presented at the @aiDotEngineer London conference together with @Whats_AI. It ha…
I just gave a workshop at @aiDotEngineer in London on building real multi-agent systems. The best part was hearing people laugh, interrupt u…
the real future of the very best vertical products is Model/Harness Choice + Openness easy to deploy infra is nice (great release from Ant) …
Attended the first AI Engineer Europe in London — great event and yes, there was a giant lobster outside 🦞 Big takeaways: AI is becoming an…
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance …

Source: Swyx (X) | 2026-04-10

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