Matthew (@MatthewGerstman) header
Matthew (@MatthewGerstman) profile picture

Staff Engineer @Obvious

New York, NY
Joined April 2009
Photo by Matthew (@MatthewGerstman)Photo by Matthew (@MatthewGerstman)
"In a world where building anything is fast and almost free, what defines what is worth building?" @handotdev @pk_iv @ankrgyl and @hpalan just dropped banger after banger in response to this question on this panel at the last Frontier hackathon last Thursday
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i keep hearing this kinda thing @obvious is likely the most capable software factory on market right now now to stay that way
I like to test out software-factory type tools and coding agents by asking them to go clean up and fix the architecture of whatever my sloppiest project is at the time and @obvious is the only one that's actually done it and not just made things worse.
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I like to test out software-factory type tools and coding agents by asking them to go clean up and fix the architecture of whatever my sloppiest project is at the time and @obvious is the only one that's actually done it and not just made things worse.
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these other ai apps take themselves too seriously you thought the windows xp theme was cool? time to try out ?theme=98 in @obvious @MatthewGerstman can we get the BSOD here after like 3 minutes of using the app?
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actually fuck design this is delightful cancel therapy. use @obvious with ?theme=xp thanks @MatthewGerstman
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thinking about introducing "queued work" into @obvious for 70% cheaper tokens, you can schedule overnight loops that run at arbitrary latencies we get 90% gpu utilization in off hours and you get token savings on long /goals think: debug 100 brittle tests overnight for $10
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this week @obvious migrated one of our product lines from AWS to @latitudesh for $500 of GLM5.2 tokens burned, a long-running /goal, and $3000/mo of bare metal servers we cut out over $100k/mo of AWS spend that's $1.2m/yr what
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the next step function in engineering will not be models, it will be a code framework designed for agents not humans
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if software is spec, what if we got AI to make specs that weren't slop? working on this (very inspired by the beauty of makingsoftware.com by @danhollick)
if your agent doesn't write design specs like this your ngmi
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if your agent doesn't write design specs like this your ngmi
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Really it depends on _what_ they're shipping. Good CODEOWNERS + architecture can block non technical employees from touching critical paths and enable them to fix the never ending stream of nits+ edge cases customers experience.
The last thing you want to hear the CEO of a financial-services firm say is "Non-technical teams are now shipping production code."
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It's amazing how bad the bolted on chatbots are.
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I've been working on this wild product called Autobuild that basically prints software. I spend time collaborating on a spec and then it just goes. The code is good, review is automated, by the time it gets to me I'm testing a preview url and spot checking it. It's absolutely surreal watching a codebase evolve this fast and actually work. It feels like being able to do the work of 100 people. If you want to try it, hit me up.
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This is one of the most dangerous things I've built with @obvious, a @shopgoodwill scanner for things I'm looking for.
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Sure I'd like to refactor 113 tools
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you wish you had a bot like this
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