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suraj kumar
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suraj kumar
@Surajcoder
Exploring AI & no-code tools to simplify building, boost income, and improve productivity. Follow for more
India Delhi Entrou em Temmuz 2025
23 Seguindo55 Seguidores

I made $14,200 last month using Claude, a laptop, and just 60 minutes a day.
No clients chasing.
No team.
No burnout.
I broke down the exact process into a simple step-by-step guide. It used to be $129.
Right now → it’s FREE for few hours.
Like + comment “GUIDE” and I’ll send you the full playbook. Must follow to receive the DM.
⏳ Available for a limited time.

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suraj kumar retweetou

Best accounts to follow from each frontier lab to stay constantly up to date
Anthropic
@karpathy
- must-follow account for AI; recently joined Anthropic
@bcherny
- Claude Code creator, always shares great tips
@trq212
- also a Claude Code developer; writes amazing articles on CC
OpenAI
@polynoamial
- works on reasoning research, shares a lot of technical details
@gabriel1
- Sora developer, great career path
@jxnlco
- works on dev experience, shares a lot about Codex
Google AI
@OfficialLoganK
- all the major Google Gemini and AI Studio updates
@ammaar
- product and design; shares great things about vibe-coding in Google AI Studio
@fofrAI
- cool use cases for generative models
Cursor
@leerob
- the loudest voice behind Cursor updates
@ericzakariasson
- shares great insights on using Cursor
@mntruell
- Cursor’s CEO; major releases and usage updates
xAI
@milichab
- recently joined xAI, shares updates on Grok
@skcd42
- also covers major Grok releases
@ai_explorer25
- covers all ai content and free resources




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suraj kumar retweetou
suraj kumar retweetou
suraj kumar retweetou
suraj kumar retweetou
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@TechByMarkandey The feedback loop is usually the missing piece, not the model itself.
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suraj kumar retweetou

Everyone wants better AI agents.
The challenge isn't collecting more data. It's making sense of the massive amount of production traffic, traces, tool calls, and feedback agents generate every day.
That's why Adaline is interesting.
It turns production behavior into evals by identifying patterns, surfacing failures and drift, generating synthetic scenarios based on real usage, and continuously creating new tests to improve agent performance.
What stood out is that humans stay in control. Adaline can build agent candidates from what it learns, but a human reviews and approves changes before anything goes live.
The next leap in AI agents may come less from bigger models and more from better feedback loops.
Arsh Shah Dilbagi@arshdilbagi
Introducing Adaline 2.0 - The Agent Self-Improvement Layer Adaline turns Traces into Behaviors, Behaviors surface Issues, Issues become auto-generated Evals + Data, Adaline then generates new agent candidates and tests them. You review the winners and ship!
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i don't think the next breakthrough in agents is a bigger model.
it's giving agents a way to learn from their own production mistakes.
reading traces, identifying recurring behaviors, generating evals, and improving from real-world usage feels like a much more important direction than most people realize. this is basically that, shipped.
Arsh Shah Dilbagi@arshdilbagi
Introducing Adaline 2.0 - The Agent Self-Improvement Layer Adaline turns Traces into Behaviors, Behaviors surface Issues, Issues become auto-generated Evals + Data, Adaline then generates new agent candidates and tests them. You review the winners and ship!
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@Alokkumarzz Great thread! Most people use WhatsApp daily but rarely explore features that can improve privacy and productivity.
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suraj kumar retweetou
suraj kumar retweetou

If you have a Gmail account, you need to read this.
Google's AI now scans your emails and attachments, bank statements, tax files, medical letters, all of it. It turned on by default, and there's a class-action lawsuit over how.
Here are 5 moves to shut it off, the switch is hidden in two places:
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