Joined March 2021
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All @aiDotEngineer SG talks kick off in 22 mins! Tune in live: youtube.com/watch?v=_xQnSNlB… - @VivianBala, NanoClaw power user & Cabinet Minister - @Gavriel_Cohen, creator of NanoClaw - @thsottiaux, Eng lead Codex @OpenAI - @ryolu_, Head of Design @cursor_ai - @dmsobol, Head Research Scientist $CBRS - @feedthejim, @Nextjs Lead @Vercel - @ZixuanLi_, Head of @Zai_org - @ktoya_me, Growth @ElevenLabs - @Stefania_druga, RS, @SakanaAILabs - Jacky Mok, Head of Applied @RekaAILabs - @JukicVedran, CTO @daytonaio - @JanLiphardt, Founder OpenMind - @picocreator, CEO @FeatherlessAI - @lihautan, Lead @SimularAI - @jackminong, RL @PrimeIntellect - @vaishaaant, Cofounder @greptile - @howdymj, Cofounder Bluelabs - @PhilHedayatnia, CEO Airfoil - @linhkid91, Head of AI @Obello - @vamonke, Founding Voltade - @GokulKrishnaSr1, President, Antim - Nibblepuff, Tech Lead @usebland - @swyx and too many others to count! join in!

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AI Engineer retweeted
Last call for the 2026 AI Engineering Survey 👀 ntn.so/ai-survey Excited to be partnering with @NotionHQ and @vercel on this year's report. Looking forward to sharing the results on the main stage at @aiDotEngineer!
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AI Engineer retweeted
DevEx and platform lead and attending @aiDotEngineer ? ​Join us for an evening of delicious food and insightful conversations with senior engineering leaders who are rethinking developer productivity in the age of AI. ​When: July 1st, 5PM PT Where: TBD, San Francisco Who: Hand-picked DevEx, platform, and AI leaders. No vendors or sales pitches. luma.com/egja1aw9
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AI Engineer retweeted
Jun 12
Look up. 📷 Qodo is lighting up the San Francisco sky with drones, the night before @aiDotEngineer World's Fair.🤘 Join us at the Grand Hall for a reception at 7pm. Then watch the drones at 9pm. 📷 1 Ferry Building, SF 📷 Mon, June 29 RSVP: luma.com/kyrrt7oh
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AI Engineer retweeted
Wow nearly 60K views on my @aiDotEngineer talk in a week! thank you all for the support And because you all so interested in the future of gen-ui I am writting a follow up post on new things that have come up since the conference 😁
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Three layers you need to run agent swarms at scale: - Runtime: solved. - Orchestration and triggers: solved. - Coordination (how agents pick up tasks from each other, verify they have cleared a stage, and proceed): not solved. Stripe called theirs Minions. RAMP called theirs Inspect. Both are internal infrastructure for running fleets of background agents. Both built from scratch. @loujaybee says this shouldn't keep happening. GitHub is a poor coordination layer for agents. Noisy, designed for humans, not built for hundreds of parallel pull requests. Lou's fix: a CLI gateway that any local coding agent can invoke to check whether it has cleared its current SDLC stage and can proceed. youtube.com/watch?v=5Sui_OnS…
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AI Engineer retweeted
Catch us with our collaborators @digitalocean for an AI infra social and World Cup viewing during the @aiDotEngineer World's Fair. We're excited to have so many portfolio companies in town joining the event. Atomic Software, Aranya, @baz_scm @cognee_ @KeycardLabs @uselemma_ai @papercompute Register for your spot! luma.com/pvyr7md7
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I have some thoughts on this but you will have to come to the coding agents track at @aiDotEngineer worlds fair if you want to hear them :)
Replying to @scaling01
The agents do not write code with the fear that they will be required to write 50 more PRs on top of their work x.com/_lopopolo/status/20514…
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The way we build software is changing fast. Code is no longer just written; it’s generated, orchestrated, and learned. And the frontier isn’t being defined by tools alone; it’s being shaped by the developers, founders, and builders who are rethinking what’s possible. We'll be hosting Future Code: Rewriting the Developer Frontier on June 30 as a side event to @aiDotEngineer World Fair in #SF @GitHub HQ with @M12vc. RSVP Here: luma.com/FutureCodeFrontier We’re bringing together people pushing this shift forward: - Builders working across agent-based systems, local models, and new runtime patterns - Founders redefining how software is created, deployed, and evolved - Developers experimenting at the edges of tooling, infra, and human-AI collaboration It's a moment to step out of the noise and to hear what’s changing now and in the future: - What happens when agents writes code, and humans move up the stack - How agentic systems reshape the SDLC, not just speeding it up - Where today’s infra breaks and what replaces it, and what needs to be rethought - What developers want in a in AI developer tools beyond the IDE, post-prompt world If you’re building at that frontier or trying to understand where it’s going, this is the room for you.
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AI Engineer retweeted
Blown away by this place (literally!!) and a bit of a hike to get here but it’s beautiful, not freezing and a decent spot to think ⛅️✨
Taking time off to go to the beach in Cornwall🏖️ Tell me why the weather report is saying it’s going to rain 😂 I should have gone somewhere guaranteed to be sunny tbh. Smh
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AI Engineer retweeted
2 months ago i gave a wake up call to engineers. Some thought i was gloating about tokenmaxxing. But the acceleration is real. I gave a glimpse into the factory we are building - since then the machine is full throttle.
OpenClaw hit 3,000 commits in a single day. 10 to 15 maintainers. All with day jobs. @vincent_koc (Chief Architect of OpenClaw) explains how the factory actually works. youtube.com/watch?v=pmoDeA3R… The great refactor: 2 AM, Vincent and Peter at NVIDIA, 60 to 70 agents running between them. 2,700 commits. Close to a million lines changed. 82% of the core codebase touched. Plugin architecture shipped by morning. The saving grace: overfitted unit tests AI code loves to generate. As long as they went green, they knew they were close. Knowing when your agent is bullshitting you is the skill nobody talks about. "It doesn't sound off because of what it's doing. It sounds off because of how it's explaining itself to me. It's waffling." 2025 was about token maxing. 2026 is about not wasting them.
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OpenClaw hit 3,000 commits in a single day. 10 to 15 maintainers. All with day jobs. @vincent_koc (Chief Architect of OpenClaw) explains how the factory actually works. youtube.com/watch?v=pmoDeA3R… The great refactor: 2 AM, Vincent and Peter at NVIDIA, 60 to 70 agents running between them. 2,700 commits. Close to a million lines changed. 82% of the core codebase touched. Plugin architecture shipped by morning. The saving grace: overfitted unit tests AI code loves to generate. As long as they went green, they knew they were close. Knowing when your agent is bullshitting you is the skill nobody talks about. "It doesn't sound off because of what it's doing. It sounds off because of how it's explaining itself to me. It's waffling." 2025 was about token maxing. 2026 is about not wasting them.
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AI Engineer retweeted
Video of my talk at @aiDotEngineer Europe is out! 🎥 I think AI Engineer is one of the best applied AI conferences right now – and I constantly recommend their YouTube channel to people looking for strong AI content @swyx @Benghamine I talked about the SWE-rebench leaderboard – a live benchmark with fresh SWE tasks from GitHub: > how we collect and filter tasks > how we run monthly evals on 30 models and harnesses > how we deal with infra pain > how we caught models trying to cheat 🧵 in the thread: slides short key points from the video youtu.be/wcUJWP6WpGM
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For the third year running we are honored to have @Microsoft as presenting sponsor. Microsoft creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.
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Skill issue: Lessons from skilling up coding agents Getting agents to actually use Langfuse was a "skill issue" — literally. Marc Klingen from Clickhouse on teaching coding agents to use new tools, and why it's harder than you think. youtube.com/watch?v=vNCY9kXX…
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AI Engineer retweeted
@swyx and I are curating the AI in GTM track at @aiDotEngineer on June 30. The thing every AI engineer must realize: GTM just became an engineering problem. Outbound = agent design. Enrichment = retrieval data quality. Attribution = a knowledge-graph problem. Forecasting = evals.
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Don't Build Slop (4 Levels of AI Agent Maturity) Most AI agents are slop. @arafatkatze from @cline breaks down the 4 levels of agent maturity — and what separates a demo from a product. youtube.com/watch?v=yUmS-F9I…
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AI Engineer retweeted
We’re here Melbourne for @aiDotEngineer this week. @igorcosta is presenting a keynote on the next generation of memory for coding agents. Why do agents forget? What does persistent memory actually look like? Visit us at Booth 12 and chat with the @autohandai team.
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