The Performance Machine. Software that stays fast.

United States
Joined April 2026
Software Engineering is NOT DEAD, but it has changed forever. But how about Performance Engineering? Can you use Agents to find performance bottleneck, find the root cause and fix it for you? But how would the approach look like? another prompt? How do you do the verification? most importantly how do you avoid Performance engineering SLOP? Checkout the latest episode on The GeekNarrator with @tsenart who built @perfloop to enable Agentic Performance Engineering. Link in the comments. Also like, share and repost to make it visible to folks who care about Performance.
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Pipecat, Daily's voice agent framework, merged two Perfloop contributions. The first is chatty I/O, the pattern where something sends way more messages than it needs to: the VAD controller was firing a speech event on every audio frame, when once every 200 ms was the intent, and each one fanned out through the LLM aggregator as a user-speaking frame. One line changed, 17% less CPU on the VAD pipeline. The second is an avoidable copy: the audio volume tracker was rebuilding its 400 ms window from scratch on every chunk. 48.5% fewer bytes copied per update, allocations from 2 to 0.
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What are the burning questions you have after watching this Perfloop video tour?
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Writing code got cheap, and attention did not. A system stays fast only while someone holds its envelope, and where agents write the code, holding it takes superhuman attention. A freestyle coding agent runs on your attention. What changes the accounting is a harness every change must survive before a person ever looks. perfloop.ai/blog/superhuman-…
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Everybody needs Perfloop now.
Gear up. It’s going to be a long winter.
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News flash! First public Perfloop PR not driven by me just landed (link in reply). I'm giving direct access to Perfloop to open source maintainers who care about performance, in return for their feedback. @__Achille__ is driving it on his repos including parquet-go, which we had landed many contributions on already via our OSS tenant. Now he has his own.
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Will AI manage software performance with humans in the loop? We spoke with Vegeta creator and @perfloop founder @tsenart about his thoughts on performance engineering: heavybit.com/library/article…
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See you in October! May the tail be with you.
We can't wait to learn about a software loop that does the full arc of performance engineering from @tsenart at this year's #P99CONF. Don't miss your chance to learn what this looks like for teams running performance-sensitive workloads: ow.ly/P68h50ZnQHc #ScyllaDB
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parquet-go merged its first PR from @perfloop 👏 An agent did the research, came up with an optimization opportunity, and opened a PR... no humans in the loop! So much power is wasted to slow code, this is how we fix it.
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