Yoav Farhi (@yoavf) header
Yoav Farhi (@yoavf) profile picture

Free radical @ Base44

Israel
Joined May 2008
Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)Photo by Yoav Farhi (@yoavf)
After enabling a custom agentic code reviewer system that auto-approves safe PRs (now over 90% are approved like this), PR size dropped in half. I dug into the data and realized it correlate with some some interesting numbers:
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Of course this can't be all attributed to the review process: stacks usage got up, and coding agents kept getting better. But knowing that the PR will get reviewed and merged faster, you keep the scope smaller, easier to monitor, and easier to roll back (if needed).
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Curious - If anyone's made a similar chage with code review: can you see the same impact?
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We're testing something new in @Base44 - while your app builds, it asks you a few casual questions. Nothing it needs for the build, more like who it's for and how it should feel, to make it yours. Really loving how its turning out, great work by the team (Obviously I tested it by building a sandbox startup, will update once it gets to $1M ARR)
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Heads up: gpt-image 2.6 is much faster than 2.5, but uses ~4x as many tokens at low/medium for the same image size.
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I wonder which model they use
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In case you were wondering - Opus 5.5 can edit (or add weights too). We have a successful fine-tuned Qwen 3.5 2B running in production for auto-complete. Works great, except occasionally (~2% of requests) it will repeat itself repeat itself repeat itself repeat itself.
🤖 Made with AI
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So I asked Opus to take a look - initially it found and tried to turn off the copy heads, but that made overall quality lower. But then it just added three new vectors instead that say: "stop if I'm repeating myself"
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And it worked like a charm: repetitions down to 17% on a held out set. I love how easy it is to experiment with things like this :)
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Opus 5.5 is a really good model! And you can try it for free in our "compare models" mode for the next couple of hours.
Opus 5.5 is out and now available on Base44. For the next two hours, compare models for free to put it head-to-head with your favorite models and see which one comes out on top.
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Astra is an incredible model. The first to complete my personal impossible task on Base44. Time to find a new challenge.
GPT-6 Astra is now available on Base44.
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For some reason I've been sitting in this for too long: jst.sh is the cli utility you didn't know you needed. It uses a (free hosted, or local) llm to convert natural language to shell commands. Designed to just work.
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Yoav Farhi retweeted
We just blew past $200M ARR at @Base44 5 months after hitting $100M. We've released Base 1 in between. i'm proud of the healthy business we're building, being the only platform to own its entire stack (backend, models, etc) - which also allows us to move fast and be creative. All credits go to a very special team that i'm having so much fun working with
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Yoav Farhi retweeted
Announcing Base 1’s benchmarks: After rigorous testing in production, attached below Base 1 results for building beautiful, functional and complex web apps inside @Base44. we released Base 1, our own model, a few weeks ago. we've been measuring it since. For app building, there are no standard benchmarks. We A/B test in production with millions of builders, who we believe provide the best benchmark for measuring real value across real-world use cases. Base 1 came close to Fable, while being 4.5x cheaper. Base 1 has the lowest frustration of anything we've tested. below Sonnet 5, below Opus 4.8, below Fable 5. Fable 5 still edges it on success rate, 76.4% to 74.9%. i'll post the full benchmarks in the comments
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New tool! I built Continuo to help continue a session created in one coding agent (Claude Code / Codex / Opencode), in another. Uses Apple on-device intelligence behind the scenes to generate session titles and compact sessions (if needed) to fit the target model context size.
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Try it out the next time you hit your session limit - https://usecontinuo dev
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