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.
8/12 AI will eat closed loops first
Fastest time to impact will be fast closed loop + high economic value (this explains SW engineering, customer support)
Each closed loop makes the next one faster.
The model already knows the topology, the code paths, the baselines. Discovery cost drops. Hypotheses get sharper. The engineer shifts from driving investigations to reviewing results.
That is closed-loop performance engineering.
Perfloop doesn't track the loop. It runs it.
It models the system, finds the highest-leverage case, makes the change, and verifies the result.
Your team's review policy, respected.
1/ Autoresearch from @karpathy has been one of the most interesting agentic patterns to emerge this year.
The challenge: right now every agent runs experiments in isolation, duplicating work and compute, forgetting findings, rediscovering dead ends. Everyone is running in solo
Sequoia's thesis that the next $1T company will sell work, not software, is the most important reframe in AI right now.
The argument: if you sell a copilot, you're competing with every new model release. But if you sell the outcome — books closed, contracts reviewed, claims
We're backed by Robin Vasan at Mango Capital and working with a small number of design partners now.
If this is already happening to your team, get in touch.
That's why we're building Perfloop: closed-loop performance engineering.
It keeps finding the highest-leverage performance work, driving the change, and proving the impact.
Agents are writing orders of magnitude more code, ever faster, while pushing production systems to their limits.
The result is more performance work than load-bearing teams can actually close.
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