Codeflash

Codeflash helps make Python's packaging library 3x faster! Thanks Kevin Rodriguez-Turcios Read more - https://lnkd.in/g_qc2rYW

Had a great time chatting with Bob Belderbos on the Pybites Podcast about Codeflash and the future of automated code optimization. We covered a lot of ground—how we use LLMs to discover faster implementations, why correctness verification is the hardest part of this problem, and some of the surprising algorithmic improvements Codeflash has found (like that quicksort partition trick for top-n problems). A few highlights from the conversation: On the core problem we're solving: There's always been this trade-off where you can ship quickly or ship optimized code, but rarely both. If we can make the cost of optimization zero, every piece of code can be optimal from the first commit. On learning from the tool: Bob mentioned how Codeflash suggested using heapq instead of sorted when he only needed the top n items. That's exactly what we want—not just faster code, but engineers learning performance patterns along the way. On why this matters for companies: At scale, even small speedups compound into real savings. Lower latencies, reduced compute costs, and engineers freed up to work on other problems. Check out the full episode if you're interested in Python performance, how we handle correctness testing (including concolic testing), and where we see automated optimization heading. 🎧 https://lnkd.in/gZhZm-Aq

We're thrilled to share a case study on how Codeflash helped Unstructured achieve major performance gains—optimizing their document-processing pipelines and boosting overall efficiency. 🔎 Why it matters: Unstructured.io is the leading ETL platform powering gen-AI workflows for hundreds of enterprises (including 82% of the Fortune 1000). They transform massive volumes of complex documents into structured, AI-ready data—across 64+ file types and 1,250+ pipelines. ⚙️ What we did: By integrating Codeflash as a GitHub Action, Unstructured.io gained automated performance optimization without pulling engineers off feature development. Codeflash detected critical bottlenecks and suggested improvements—all verified through data-driven verification. ⏱️ The results: - 150–200 ms shaved off key "hot-path" API requests (previously ~3s)—a 5–7% speed boost. - ~300 ms total latency reduction (~10% improvement) across multiple pipelines. - Faster "partition step" (raw documents → structured output), string processing, and concurrent operations—all contributing to lower compute costs and faster insights for customers. 💡 What this means: Performance optimization no longer competes with feature development—it becomes a built-in, automated part of the engineering workflow. The result: better performance, lower infrastructure costs, and faster innovation. All automatically. A huge thank-you to the Unstructured.io team for the collaboration and trust. Looking forward to more efficiency-first journeys together! 🙌 Case study link in the comments: #AI #GenAI #DocumentProcessing #PerformanceEngineering #Python #SoftwareEngineering #Startup

Refactoring win from a Codeflash the other day 👇 I only needed the worst N files / most complex N functions... but the code was doing a full sort and then [:top_n]. Refactor: - sorted(..., key=... )[:top_n] ➡️ heapq.nsmallest(top_n, ...) - sorted(..., key=..., reverse=True)[:top_n] ➡️ heapq.nlargest(top_n, ...) Same behaviour, but now it’s O(n log k) instead of O(n log n) when k << n. Nice reminder: if you only care about the top K items, reach for heapq instead of a full sort.

Today I released the first episode of the Founder Social Club Podcast. I started this to create a space where founders can learn from each other. Real stories, real challenges, and the decisions that shape the journey. Conversations about product, growth, hiring, fundraising, failures, and what it actually takes to build something meaningful. Episode 1 is with Saurabh Misra, the founder of Codeflash. We talk about the future of coding, building from zero, founder market fit, and how AI is changing engineering. This is day one. More conversations are coming soon. You can listen here: 🎧 Spotify: https://lnkd.in/gN-jrNDX ▶️ YouTube: https://lnkd.in/gnn-Ycdc Thank you for being part of this community. #FounderSocialClub #Podcast

Today I released the first episode of the Founder Social Club Podcast. I started this to create a space where founders can learn from each other. Real stories, real challenges, and the decisions that shape the journey. Conversations about product, growth, hiring, fundraising, failures, and what it actually takes to build something meaningful. Episode 1 is with Saurabh Misra, the founder of Codeflash. We talk about the future of coding, building from zero, founder market fit, and how AI is changing engineering. This is day one. More conversations are coming soon. You can listen here: 🎧 Spotify: https://lnkd.in/gN-jrNDX ▶️ YouTube: https://lnkd.in/gnn-Ycdc Thank you for being part of this community. #FounderSocialClub #Podcast

Today's the big day - Codeflash is live on Product Hunt! Please support us and share your thoughts with us. We'll be answering any questions and comments throughout the day and we'll love to hear from you! Any support goes a *long* way! https://lnkd.in/gFv5HhkC

🚀 We just shipped the new Codeflash website: https://www.codeflash.ai For the last few months we’ve been heads-down building something teams actually wanted: a way to make Python workloads fast - automatically, safely, and continuously. The new site shows that much more clearly: What Codeflash does → It discovers the fastest version of your Python code through AI-powered optimizations, verifies correctness, and automatically delivers performance gains Who it’s for → teams running Python in production (AI/ML, data, nlp, quant, vision) Why it matters → slow code = wasted compute = higher bills = bad UX Real wins → speedups on vLLM, Pydantic-AI, vision models, quant libraries Why this matters: a lot of companies have high latencies, their analysis takes hours and are spending on GPUs/compute because the code is slow, and fixing it is hard. Codeflash closes that gap. 👉 Check it out: https://www.codeflash.ai Would love feedback! Especially from folks who live in flamegraphs and PR reviews.

The next wave of AI isn’t just about writing code — it’s about making it run fast, automatically. Excited to see our founder Saurabh Misra share how Codeflash.ai is making performance a default, not an afterthought. Watch the full conversation with Sarah M. here 👇 https://lnkd.in/dtucfAZR