Sriram

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Sriram

Sriram

@tsriram

Tech, fitness, cooking, memes, music. Distilling DX at @chargebee.

Chennai Katılım Mart 2009
1.2K Takip Edilen912 Takipçiler
Sriram
Sriram@tsriram·
@adipatil Absolutely! Would love to catch up. Ping me when you're here :)
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Adi
Adi@adipatil·
@tsriram 👏👏 Will be in Chennai next month! Would love to connect in person and learn more!
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Kenneth Auchenberg 🛠
Tell me you are in SF without telling me telling me.
Kenneth Auchenberg 🛠 tweet media
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Justin Vincent
Justin Vincent@justinvincent·
Anthropic and OpenAI just became consulting companies. The crazy takeaway is they will make way more margin off their humans than their AI.
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Sriram@tsriram·
They grow up so fast! (talking about context windows)
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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out. I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really). It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely. The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture. We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying. I worry.
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“paula”
“paula”@paularambles·
average founder emotional arc
“paula” tweet media
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Sriram@tsriram·
@jxnlco Where's the article? 👀
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jason
jason@jxnlco·
anyone have a podcast or want a lighting lesson about codex? I just wrote my codex maxxing article and want to try to give a live version of this
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Shreyas Doshi
Shreyas Doshi@shreyas·
While everyone chases the latest AI tools, here’s an underrated, high leverage, practical application of AI: Give AI deep ongoing context on your product. Then actually use it during product discussions to keep you honest and call out your BS. AI is extremely good at this today.
Shreyas Doshi@shreyas

x.com/i/article/2055…

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Peter Steinberger 🦞
Been using @sveltejs for a few projects lately, it's quite a nice alternative to React, fewer gotchas and complexity and Codex handles it really well. svelte.dev
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Sriram@tsriram·
Make every token count!
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Corey Quinn
Corey Quinn@QuinnyPig·
5. Hard budget caps that actually halt. Not the AWS "we noticed you spent $47K yesterday, here's a CloudWatch email" approach. Fail closed at the boundary. A Lambda stuck in a loop racking up data transfer or inference charges is a real failure mode; treat it as one!
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Karthik
Karthik@karthikponna19·
POV : USING CLAUDE OPUS 4.7 TO JUST RENAME A VARIABLE
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