Announcing p99.chat, the assistant for software performance optimization 🚀

Describe your performance challenge, share your code, and p99 will analyze, instrument, and visualize the results, cutting the traditional setup overhead down to seconds!

We’re at @pyconit.bsky.social with @adriencaccia.bsky.social!
We’ll quizz you on Python performance again tomorrow! See you in room lasagna at 11:45!

Super excited about our latest changes to make performance testing more accessible! Two significant changes:

✅ The Free plan now includes private repositories (up to 5 users)
✅ Macro Runners are now globally available (bare-metal ARM64, 16 cores, 32GB RAM) with 120 min/month included for free

We now support sharded benchmark execution to provide even faster performance feedback!

But physics is catching up. As transistors shrink, heat and power constraints limit clock speed gains. But to keep Moore’s Law going, we stack more cores. GPUs push this further with thousands of parallel cores, mentioning exponential performance increase but omitting the implementation complexity.

Single-core performance gains have largely plateaued. That means no more relying on “free” hardware speed boosts. CPUs haven't stopped improving, but we must actively tap into new architectures. Concurrency, SIMD, and thoughtful optimizations can still unlock impressive speedups.

`x * x` generates exactly the same assembly as `x.pow(2)` in Rust and this goes even beyond powers of 2, thanks to LLVM loop unrolling and exponentiation by squaring.

Started hacking on a small TUI for managing EC2 instances and SSH connections. Can’t wait to ditch AWS Console's clunkiness.

Lets go! I’ll be in Pittsburgh again in may for PyCon US 2025! Super excited to try a new interactive talk format this year!