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brexton
cofounder @tryoharaAI — create apps with AI using words. compete to build the best apps & win funding. software is content.
I’ll take it one step further: each model is best optimized with an entirely different harness

jacobAug 20, 07:12
if you're starting a new project -- save yourself the trouble and avoid the AI sdk and anything similarly shaped
it's not possible to cleanly swap models out, they need different prompts, the APIs are all different and AI SDK is divinely unhackable & will make your codebase a terrible mess
661
Shameless plug: this is @askModuAI
Unified access to the frontier coding agents like cline/codex/claude code/etc with no manual config/overhead and switching costs

Matt ShumerAug 19, 09:32
New OP vibe coding setup:
-> Cline as the harness
-> GPT-5 for planning
-> Claude Sonnet 4 for acting
Try it, trust me.
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brexton reposted
Gabriel and I started this business programming in a tiny office for a year straight. We started with the idea that AI systems must be able to learn from real-world experience to solve real-world problems. Eventually it became clear that this was much more of a systems and data problem than a machine learning problem.
The solution needed to be industrial-grade software that was freely available and easy to adopt for individual developers but could scale to fit the needs of large organizations. So we open-sourced the project and told our earliest users to stop paying us. It felt crazy.
These days, we're rounding a corner. We have a small but incredible technical team: Aaron (Rust compiler maintainer, Svix, AWS), @anndvision (Columbia postdoc, Oxford PhD), and Alan (CMU PhD, VP at JPM AI Research) soon to be joined by Shuyang (staff SWE on LLM infra at Google, Palantir) and Cole (Cognition, Windsurf, Stanford). Our community is active and growing (soon to 10k stars!). There is a clear path towards building the agent that optimizes every TensorZero deployment against the real-world feedback it collects.
If you told me when I started my PhD that one day lots of companies would voluntarily start storing RL trajectories in a data model that I helped build so that we could optimize their policies against the rewards they care about I would have been astonished.
Soon, this won't be done by hand.
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