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Bren

@BrenBuilds

10+ years in tech. solopreneur. 3 apps live. hackathon winner. open source contributor. kickball mvp.

Downtown Inscrit le Aralık 2025
692 Abonnements505 Abonnés
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Bren
Bren@BrenBuilds·
a trend im seeing amongst teams. if your AI coding assistant keeps "forgetting" your codebase, the fix usually isnt another tool. its telling it where things are. before you install a "give your agent a memory of your whole codebase" plugins, know this: the people who build AI coding tools already tried that and backed away from it. early versions of claude code indexed your code into a search database. anthropic ripped that out and did the simple thing instead: let the AI search and read your files the way you would. sourcegraph builds code search for a living. they tried the index too, then dropped it and went back to plain keyword search. so treat the index as guilty until proven necessary. you really only need it when BOTH are true: 1) your codebase is huge 2) you keep asking things plain search can't answer, like "what calls this function" before that, KISS and use what already works. keep a short notes file the AI reads so it knows how your project is laid out. use plain find files for "where does this live." karpathy does similar for his own knowledge: he keeps it in plain markdown files the AI reads, because the upload all and search setup makes the model relearn everything from scratch every time. he's talking about personal notes, but it's the same move for code. one real exception: when you don't even know what something is called, a meaning based search helps you find it. and the promblem with an index, its a point in time snapshot. right after you change code it quietly points the AI at the old version. so before you add the tool, just ask the AI how your project works.
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Polymarket Money
Polymarket Money@PolymarketMoney·
JUST IN: New study shows data centers has reduced the cost of electricity in America.
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Bren
Bren@BrenBuilds·
@AgentsDispatch planning one for coding another for review another for QA/TESTING
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Agents Dispatch
Agents Dispatch@AgentsDispatch·
@BrenBuilds You should never use just one model (even Fable). Using multiple, simultaneously on the same problem in a cooperative or adversarial way yields results an order of magnitude better.
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Bren
Bren@BrenBuilds·
"im a claude code user should I switch to codex or cursor?" "I'm a codex user should I switch to claude code?" Don't be so tribal and black or white. Use everything at the top of product lines.
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Bren
Bren@BrenBuilds·
We're going to get GPT 5.6 before neutered Fable 5 rerelease aren't we
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Daniel Endara
Daniel Endara@danielendara·
@BrenBuilds just curious if you can share... what enterprise solution did they go for.
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Bren
Bren@BrenBuilds·
@johnhelmuth_ True. It's becoming more expensive weekly
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John Helmuth
John Helmuth@johnhelmuth_·
@BrenBuilds Hard to do that everything costs hundreds of dollars monthly. Most people can only pick 1.
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Bren
Bren@BrenBuilds·
@clairevo I'm not sure what the output even is at that price point
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Bren
Bren@BrenBuilds·
@pouriaa the pace of release is so fast right now
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pouria
pouria@pouriaa·
@BrenBuilds Keep switching between them every few months since the product velocities from these companies is so high. Even if you hate <TOOL> today, they might ship a feature that makes you love it tomorrow
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Bren
Bren@BrenBuilds·
Mass exhodus from Google DeepMind, so it's over for them. It's Anthropic vs OpenAI and the latter has way more market share
John Jumper@JohnJumperSci

A bit of news: After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic (after taking some time to recharge). I am incredibly grateful for my time at GDM. @demishassabis took a real chance letting me lead the AlphaFold team just six months after finishing my PhD, and the entire GDM team taught me so much about how to do great science. GDM is a special place, and I’ll still be excited to hear about what amazing things they discover next.

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Bren
Bren@BrenBuilds·
@theo i left it with a $10k MRR goal last week, must be close to finishing. Will check tomorrow.
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Theo - t3.gg
Theo - t3.gg@theo·
3 days left of using Fable in your Claude Code sub! Better maximize that token usage
Theo - t3.gg tweet media
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Bren@BrenBuilds·
@theo I had plans to take over the world with it this weekend.
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Theo - t3.gg
Theo - t3.gg@theo·
I won't lie, really thought we'd have Fable back by now. Didn't think we'd go over a week.
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Bren
Bren@BrenBuilds·
Find yourself someone who loves you as much as gpt 5.5 xhigh loves making tests
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Ben Lang
Ben Lang@benln·
Which startups are actively hiring? Reply with company name, career page, location.
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Bren retweeté
Bren
Bren@BrenBuilds·
a trend im seeing amongst teams. if your AI coding assistant keeps "forgetting" your codebase, the fix usually isnt another tool. its telling it where things are. before you install a "give your agent a memory of your whole codebase" plugins, know this: the people who build AI coding tools already tried that and backed away from it. early versions of claude code indexed your code into a search database. anthropic ripped that out and did the simple thing instead: let the AI search and read your files the way you would. sourcegraph builds code search for a living. they tried the index too, then dropped it and went back to plain keyword search. so treat the index as guilty until proven necessary. you really only need it when BOTH are true: 1) your codebase is huge 2) you keep asking things plain search can't answer, like "what calls this function" before that, KISS and use what already works. keep a short notes file the AI reads so it knows how your project is laid out. use plain find files for "where does this live." karpathy does similar for his own knowledge: he keeps it in plain markdown files the AI reads, because the upload all and search setup makes the model relearn everything from scratch every time. he's talking about personal notes, but it's the same move for code. one real exception: when you don't even know what something is called, a meaning based search helps you find it. and the promblem with an index, its a point in time snapshot. right after you change code it quietly points the AI at the old version. so before you add the tool, just ask the AI how your project works.
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Bren
Bren@BrenBuilds·
@BenjDicken Love this. 2 hours a day wasted on no outcome status meetings. Working on shedding.
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
I think GLM 5.2 points to a 7 months gap currently It's around Opus 4.7-4.8 level, all told (modulo vision which in Opus's case is garbage anyway). Mythos reached Preview status (≥ Opus 4.8, functionally) by early Feb 2026. This means full PRC Mythos ("Fable") by Nov-Dec'26.
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) tweet media
Lunexa@Lunexalith

@teortaxesTex What's your current timeline for china to reach Fable class ? GLM-5.2 certainly shorten the gap.

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