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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 Katılım Temmuz 2025
23 Takip Edilen53 Takipçiler
suraj kumar retweetledi

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 retweetledi
suraj kumar retweetledi
suraj kumar retweetledi
suraj kumar retweetledi
suraj kumar retweetledi
suraj kumar retweetledi

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

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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suraj kumar retweetledi

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 retweetledi
suraj kumar retweetledi

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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suraj kumar retweetledi

Someone cloned Netflix.
Then cloned Spotify.
Then cloned Instagram.
Then cloned Airbnb.
Then cloned WhatsApp.
Then cloned TikTok.
Then cloned Amazon.
Then put all of them in one GitHub repository.
For free.
Not one clone. Not ten.
100+ open-source recreations of the world's most popular apps.
Frontend. Backend. APIs. Authentication. Payments. Real-world architecture.
The project is called Clone-Wars.
Created by Gourav Goyal.
Instead of learning from toy projects, you can study how developers rebuilt products used by billions of people.
Inside you'll find:
• Netflix clones with streaming interfaces
• Spotify clones with playlists and music players
• Instagram clones with feeds, stories, and DMs
• WhatsApp clones with real-time messaging
• Airbnb clones with booking systems and maps
• Amazon clones with carts and checkout flows
• TikTok clones with short-form video feeds
• Twitter clones with posts, follows, and engagement
• Slack clones with channels and team chat
• Trello clones with boards and drag-and-drop workflows
• YouTube clones with video search and playback
• And dozens more
The best developers don't just watch tutorials.
They reverse-engineer real products.
They study architecture.
They inspect code.
They understand how everything connects together.
That's exactly what this repository helps you do.
100+ projects.
100+ codebases.
100+ opportunities to learn from production-style applications.
GitHub:
github.com/GorvGoyl/Clone…

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