We make coding agents explain themselves.
Joined July 2025
- Tweets 49
- Following 1
- Followers 313
- Likes 0
16 Photos and videos
Jun 9
“red team” sounds cool. “blue team” sounds cool. so you’d think “purple team” would be very cool. alas, it is a Slack thread with 19 unresolved comments.
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May 31
Your token spend was a number you could've gated on. Instead it's a number you get to explain.
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May 19
everyone's like "how big is your team" brother. it's one agent. it's opening PRs against itself. i haven't written code in four months. leave me alone
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15 Nov 2025
the best AI coding assistant might be the one that works on a plane
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25 Oct 2025
Every release is a high‑wire act. Instead of praying for calm winds, build a net.
EvalOps ties your policies, metrics and audits into a mesh that lets you scale without falling.
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22 Oct 2025
We open-sourced Nimbus – Firecracker-based CI for AI workloads. Multi-tenant isolation, RBAC, audit logs.
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19 Oct 2025
EvalOps is where evaluations meet operations — and security is no exception.
“keep” shows how device posture, SSO, and OPA policies can be continuously tested and traced like any other system.
Run it, break it, measure it.
github.com/evalops/keep
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17 Oct 2025
Agents are already writing your code. The question isn't "should we use them?" It's "how do we ship them without surprises?"
Provenance gives you a ledger. Every line. Every agent. Every risk. Measurable.
github.com/evalops/provenanc…
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15 Oct 2025
We’re open-sourcing Smith — the Firecracker-based CI runner that powers EvalOps.
Why rebuild Blacksmith?
Because eval gating needs specialized infra — and we’re not forcing you onto our cloud.
Run evals on EvalOps Cloud or your own. github.com/evalops/smith
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4 Oct 2025
Everyone wants to move fast.
@EvalOpsDev makes sure you don’t break trust along the way.
Governed AI releases start here.
4 Oct 2025
Shipped a new home for @EvalOpsDev.
No fluff, just governed AI releases.
Check it out -> evalops.dev
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2 Oct 2025
🔥 Just dropped an evaluation‑driven LoRA loop built on Tinker from @thinkymachines! It trains, benchmarks & iterates until your model meets the mark. It auto‑spots weaknesses, spawns targeted LoRA jobs & tracks improvements.
Proof‑of‑concept repo:
github.com/evalops/tinker-ev…
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30 Sep 2025
Sick of yak-shaving to get a clean Transformers setup?
We built a stack that just works:
PyTorch HF Transformers
Hydra configs
FastAPI serving Prometheus
vLLM, LoRA, flash-attn, bitsandbytes
Reproducible. Dockerized. CI/CD baked in.
github.com/evalops/stack
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30 Sep 2025
Developer resumes are frozen in time. GitHub tells the real story.
7k commits, 1.4M lines → now that’s a holographic trading card worth flexing. 🚀
cards.evalops.dev
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EvalOps retweeted
28 Sep 2025
LLM vendor: “Just quantization.”
Reality: reward-hacked code, broken workflows, lost week.
Companies: “nbd.”
Users: 🙃🔥
Making this a thing of the past.
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27 Sep 2025
All of us have been dazzled by large language models’ ability to spit out code, fix bugs, or draft boilerplate. But when you put that code into production, every hidden bug is a potential outage, compliance fine, or security hole. And today’s AI tools leave you guessing.
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27 Sep 2025
This transforms AI codegen from a toy that produces drafts into a partner you can trust to do real work.
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