Nainish Rai

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Nainish Rai

Nainish Rai

@Nain1sh

22. design engineer. prev @budapp ( YC W25 ).

Katılım Nisan 2019
518 Takip Edilen455 Takipçiler
Nainish Rai
Nainish Rai@Nain1sh·
🔥 introducing agent-rollback - undo for Codex agents not ctrl+z. auto local checkpoint layer for coding agents. your agent can snapshot, diff, restore, and undo while working on your repo. 100% open source. MIT licensed. local-only. no cloud. no telemetry. repo in comments
Nainish Rai tweet media
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Nainish Rai
Nainish Rai@Nain1sh·
My friend at @Visa is hiring 👀 if you’re 2026 batch & want SWE role in bangalore, i can refer you, DM me these details: • full name • contact details • degree + stream + cgpa • active backlogs (y/n) • any work exp deadline: 11 june let’s get u that offer
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jAItin
jAItin@JatinChandel13·
@Nain1sh @Visa Can't DM you....man I need this please refer krdo
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Ragul Sankar
Ragul Sankar@RagulSankar27·
@Nain1sh @Visa Full Name:Ragul Sankar Email: ragulsankar2711@gmail.com Degree:B.Tech in Computer Science Engineering (CGPA: 8.4) Backlogs: None Experience:2 years (1 year Internship + 1 year Full-time) at MerkleHQ Portfolio:ragulsankar.dev
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Aztec@aztec331·
@Nain1sh @Visa • full name - Aditya Babar • personal email - adityababar331@gmail.com • phone number - 7083661278 • degree + stream + cgpa- MCA - Software development - 7.4 • active backlogs (y/n)- N • any work exp - 5 months backend developer intern experience • offers in hand - No
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Nainish Rai
Nainish Rai@Nain1sh·
Build every component for removal. When the model catches up, the line should disappear. If you can't delete a harness component without the system breaking, the component is load-bearing and the model is weaker than you think.
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Nainish Rai
Nainish Rai@Nain1sh·
Most teams treat the harness as permanent tax. They add scaffolding and never take it away. That's technical debt hiding behind the word "infrastructure."
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Nainish Rai
Nainish Rai@Nain1sh·
Every line of harness code is a confession. It says: "the model can't do this." If your confessions aren't expiring, your model isn't getting better.
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Nainish Rai
Nainish Rai@Nain1sh·
If your harness only has 1-2 of these, it's a demo. 3 is okay. 4 is good. 5 is what Anthropic and OpenAI ship. What's missing in yours?
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Nainish Rai
Nainish Rai@Nain1sh·
5. Human-agent alignment. When does the agent ask vs proceed? What gets escalated vs auto-approved? Versioned signals, SLOs, eval gates. Without this layer, you have an intern, not a teammate.
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Nainish Rai
Nainish Rai@Nain1sh·
Most "AI agents" are demos. Five layers separate a demo from a system that ships. Here's what every production harness needs 👇
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