Sudheer

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Sudheer

Sudheer

@sudheer_AI

Software Dev

Seattle, WA Katılım Ocak 2021
704 Takip Edilen200 Takipçiler
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Greg Brockman
Greg Brockman@gdb·
self improvement prompt for codex
Vaibhav (VB) Srivastav@reach_vb

UPDATE: Came up with an even better version of this prompt after the feedback Ask Codex to look across your sessions, Memories, and Chronicle, identify patterns, reuse what already exists, and only create the smallest useful skill, subagent, or automation. "Look back over my recent work from the last 30 days, or all available history if shorter, and identify repeated manual workflows worth packaging. Use available evidence in this order: - Recent Codex sessions and task summaries. - Codex Memories and rollout summaries to find patterns repeated across sessions. - Chronicle, if enabled, to spot repeated work outside Codex. Use Chronicle for discovery only; confirm important details in the relevant source system when possible. - Existing skills, custom agents, and automations, so you reuse or extend what already exists instead of duplicating it. Look broadly for work that is repeated, time-consuming, error-prone, context-heavy, or benefits from a consistent process. Include workflows across coding, research, writing, planning, communication, operations, analysis, and personal administration. Only act on a candidate when it: - occurred at least twice, or is clearly likely to recur and costly to repeat; - has stable inputs, a repeatable procedure, and a clear output or stopping condition; - would materially improve speed, quality, consistency, or reliability; - is not already adequately covered. Choose the smallest appropriate form: - Skill: a reusable workflow or playbook. - Custom subagent: a bounded specialist role or investigation task suitable for delegation. - Automation: a scheduled or recurring check, report, reminder, or monitor. - Skip: work that is too one-off, ambiguous, sensitive, or poorly evidenced to package. First produce a compact shortlist with: - repeated workflow - supporting evidence and dates - frequency/confidence - recommended form: skill, subagent, automation, extend existing, or skip - why it is or is not worth creating Then create only the high-confidence missing items. Keep them narrow, practical, source-aware, and easy to validate. Do not create speculative, overlapping, or overly broad assets. Finish with: - what you created or extended - what you deliberately skipped - what needs more evidence before packaging"

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Garry Tan
Garry Tan@garrytan·
My newest gbrain-evals just dropped - this is how gbrain does vs other options. ZeroEntropy.dev is SOTA for reranking and embedding cost, speed, and retrieval success. GBrain beats MemPalace by 1% on LongMemEval and beats Vector RAG by 38% github.com/garrytan/gbrai…
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Garry Tan
Garry Tan@garrytan·
Thinking Machines is impressive. In a couple hours I just fine tuned my own Qwen3.5-397B model this afternoon. Fast usable multimodal is also going to enable very mind-blowing personal AI.
Thinking Machines@thinkymachines

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way. We share our approach, early results, and a quick look at our model in action. thinkingmachines.ai/blog/interacti…

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darkzodchi
darkzodchi@zodchiii·
Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇
rody@0x_rody

x.com/i/article/2058…

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Garry Tan
Garry Tan@garrytan·
Everyone building AI agents is focusing on building the prefrontal cortex. Planning. Reasoning. Multi-step chains. There's value here. CEO-stuff. But also, a reframe: there is value in building the cerebellum. It's offloading boring tasks into reflex so the complex thought can focus. Your mortgage gets paid by a standing order, not a committee. The things that are not fun, not interesting, but have to be done? Done. Most agent frameworks will fail because they treat all cognition as high cognition. The winners will nail the boring stuff first.
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Naval
Naval@naval·
Introducing USVC - a single basket of high-growth venture capital, for everyone. No accreditation required, SEC-registered, and a very low $500 minimum. Includes OpenAI, Anthropic, xAI, Sierra, Crusoe, Legora, and Vercel. As USVC adds more companies, investors will own a piece of that too. Liquidity typically comes when companies exit, but we’re aiming to let investors redeem up to 5% of the fund every quarter. This isn’t guaranteed, but if we can make it work, you won’t be locked up like in a traditional venture fund. It runs on AngelList, which already supports $125 billion of investor capital. And I’ve joined USVC as the Chairman of its Investment Committee. — Go back to the 1500s, you set sail for the new world to find tons of gold - that was adventure capital. Early-stage technology is the modern version. It says we are going to create something new, and it’s risky. It’s daring. But ordinary people can’t invest until it’s old, until it’s no longer interesting, until everybody has access to it. By the time a stock IPOs, most of the alpha is gone. The adventure is gone. Public market investors are literally last in line. This problem has become farcical in the last decade. Startups are reaching trillion dollar valuations in the private markets while ordinary investors have their noses up to the glass, wondering when they’ll be let in. Investing in private markets isn’t easy. You need feet on the ground. You need judgment built over years. Most people don’t have the patience to wait ten or twenty years for an investment to come to fruition. But there is no more productive, harder-working way to deploy a dollar than in true venture capital. USVC enables you to invest in venture capital in a broad, accessible, professionally-managed way, through a single basket of innovation, focused on high-growth startups, at all stages. It is how you bet on the future of tech: the smartest young people in the world, working insane hours, leveraged to the max, with code, hardware, capital, media, and community. Your dollar doesn’t work harder anywhere. There is an old line - in the future, either you are telling a computer what to do, or a computer is telling you what to do. You don’t want to be on the wrong side of that transaction. USVC lets you buy the future, but you buy it now. Then you wait, and if you are right, you get paid. Get access here: usvc.com
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USVC
USVC@usvc_·
You’ve been buying their products. Paying their subscriptions. Watching their valuations climb. USVC is how anyone can own a stake in the future that’s being built in private. Learn more: usvc.com
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Guillermo Rauch
Guillermo Rauch@rauchg·
𝚗𝚙𝚡 𝚍𝚎𝚎𝚙𝚜𝚎𝚌 We're introducing an open-source agent orchestrator for deep security reviews. We built it for internal use, and after running it against some major OSS projects, we gained conviction to share it with the world. Coding agents can now find critical vulnerabilities in minutes that would take teams of people months (if they can spot them at all). Since 𝚍𝚎𝚎𝚙𝚜𝚎𝚌 is optimized to work with Vercel Sandbox, you can effectively harness the power of thousands of agents scrutinizing your codebase in parallel. I encourage you to try this on your repositories. BTW: If you run an OSS project and want us to sponsor a run, my DMs are open.
Vercel Developers@vercel_dev

Introducing deepsec, an open source coding security harness. • CLI-first • Sandbox-based scaling • Pluggable coding agents • Designed for large-scale repos • Use AI Gateway or your own subscription After months of successful internal use, we put it to the test on some of the largest open source codebases. vercel.com/blog/introduci…

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Corey Ganim
Corey Ganim@coreyganim·
The clearest explanation of Claude Managed Agents you'll find. Everyone's talking about it. Nobody's explaining it well. In 12 minutes we cover: - What it actually is (platform as a service for AI agents) - Who it's for and who should avoid it (4 personas) - Live console walkthrough (sessions, analytics, costs) - Real cost breakdown ($2.58 to fulfill a $1,000 service) We also built a free Google Doc that deploys your first managed agent when you hand it to Claude Code. You can grab it in the podcast show notes (Build With AI podcast) or YouTube description (video link below).
Corey Ganim@coreyganim

x.com/i/article/2042…

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Claude
Claude@claudeai·
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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shawn
shawn@shawn_pana·
I made Claude Code and Codex talk to each other. No APIs. No special protocol. Just a terminal. smux lets agents create, read, and act on terminals. the terminal becomes a shared interface. this enables agent-to-agent communication. Now Claude Code and Codex can hold hands 🤝 Try it now ↓
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Sudheer
Sudheer@sudheer_AI·
I'm a big fan of what you do.. happy to brainstorm ideas or offer some free thoughts on smoothing the transition if it could help make the experience even better for everyone.
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Thariq
Thariq@trq212·
I put a lot of heart into my technical writing, I hope it's useful to you all. 📌 Here's a pinned thread of everything I've written. (much of this will be posted on the Claude blog soon as well)
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Parallel Web Systems
Our team is growing. If you're a talented, high-conviction individual who supports our mission to build the web for its second user, we'd love to hear from you. - Research - AI/ML - DevRel - Deployed Engineer - Frontend - Backend - Infrastructure jobs.ashbyhq.com/parallel
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Aiden Bai
Aiden Bai@aidenybai·
Introducing React Grab Select any element on your page → tell Claude Code or Codex what to change Fully open source npx react-grab@latest
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Addy Osmani
Addy Osmani@addyosmani·
Introducing the Google Workspace CLI: github.com/googleworkspac… - built for humans and agents. Google Drive, Gmail, Calendar, and every Workspace API. 40+ agent skills included.
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Thariq
Thariq@trq212·
We've rolled out a new auto-memory feature. Claude now remembers what it learns across sessions — your project context, debugging patterns, preferred approaches — and recalls it later without you having to write anything down.
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