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@dabit3
Growth at Cognition >> Windsurf + Devin
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Devin is like Claude Code except it lives in the cloud and runs against all of your repos vs your local filesystem. So it never turns off, can be run from anywhere including your phone + Slack, and runs as many tasks as you can send it in parallel. It's complementary to all agentic IDEs and CLIs, and for the first ti...
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@dabit3
7d
Devin is like Claude Code except it lives in the cloud and runs against all of your repos vs your local filesystem. So it never turns off, can be run from anywhere including your phone + Slack, and runs as many tasks as you can send it in parallel. It's complementary to all https://t.co/dVuOjFYXIy
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I've been using Computer Use to impersonate myself. Feels like AGI!
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@dabit3
10d
I've been using Computer Use to impersonate myself. Here's what that looks like. A simulation is run end-to-end when an agent pushes a change. Interactions are recorded on video and sent for review. Running a bunch of these agents in parallel made me wonder if this is AGI. https://t.co/Zj1BGKPy2z
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Pair Programming is Having a Renaissance
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@dabit3
10d
https://t.co/YU1XYQpQ3O
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How to Run a Fleet of Cloud Agents (The Complete Guide)
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@dabit3
12d
https://t.co/OwQqLI3GCt
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Agents From Anywhere - How to Set Up Mobile-First Agent Orchestration for Any Codebase
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@dabit3
20d
Agents From Anywhere - How to Set Up Mobile-First Agent Orchestration This setup gives you: • Sandboxed environments for every session • Parallelism across many tasks • Prompt agents from your phone, Slack, Linear, web app + more • Agents push PRs directly when a task is https://t.co/ja60R0DyIq
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Understanding the agent stack might be the most valuable technical skill you can build right now. Pi is one of the most interesting projects I've seen in a while and has everything you need to build custom agents. I broke it down here, How to Build a Custom Agent Framework with PI:
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@dabit3
26d
https://t.co/sxs5oNb7QZ
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The best way to learn how something works is to build it yourself. So I rebuilt OpenClaw from the ground up, starting from a 20-line Telegram bot and ending with a Mini Openclaw in 400 lines. I learned a lot and it was a lot of fun!
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nader dabit
@dabit3
1mo
https://t.co/WfkOrIMztu
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Local agents scale with headcount. Cloud agents scale with tasks. Local agents are pair programming. Cloud agents are parallel programming. 2026 will be the year of cloud agents.
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@dabit3
1mo
https://t.co/3XyZLxk4F2
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Life update - I'm joining Cognition! More here:
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@dabit3
1mo
Life update - I'm joining @Cognition! One goal: end-to-end software agents that ship production code. Cognition covers the entire development lifecycle. I'll be working with @DevinAI and @windsurf, focused on education, growth, awareness, and developer experience.
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You can battle and compare up to 5 models including Kimi K2.5 and Opus 4.5 out of the box with Arena Mode from Windsurf. Humans are way better at spotting differences between two outputs than judging one in isolation, so I think this will become a very popular workflow going forward. x.com/dabit3/statu......
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New Video - How to Build an Effective Long Running Agent Loop in 7 minutes. This video walks you through the entire process from creating a spec, building and polishing a PRD, to running the agent.
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@dabit3
2mo
New Video - How to Build an Effective Long Running Agent Loop in 7 minutes. This video walks you through the entire process from creating a spec, building and polishing a PRD, to running the agent. 🔗 Links below: https://t.co/uZb1RtM1RF
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You can literally vibe code your own beautiful niche personal portfolio in 15 minutes with tools like Windsurf or Claude Code. In 2026, there is no good reason not to have your own! Here are the prompts for 5 different terminal portfolios I built, along with the code and links for you to try them out yourself:
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@dabit3
2mo
You can literally vibe code your own beautiful niche personal portfolio in 15 minutes with tools like @windsurf or Claude Code. In 2026, there is no good reason not to have your own! Here are the prompts for 5 different terminal portfolios I built, along with the code and https://t.co/3DxQUK3WRe
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I rebuilt Claude Code from scratch, starting with a bash script that runs one command and ending with a mini Claude Code clone in 150 lines. Along the way, I learned a lot about how all agents work! Here's the tutorial so you can do it too:
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@dabit3
2mo
https://t.co/q9anIlmWM0
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The Complete Guide to Building Agents with the Claude Agent SDK
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@dabit3
2mo
https://t.co/PqGEcSahx8
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EigenDA hit 1 GB/s throughput on mainnet. ⚡️ Enough to handle 1 trillion rollup transactions per day, scaling ETH blobs 10,000x. And the architecture is built to 10x from here, with a goal of reaching TB of throughput. Powered by @ethereum
EigenDA hit 1GB/s. Sustained, cloud-scale throughput across 100 operators globally — not a demo, not a shortcut. Built via: • LittDB (custom DA storage, ~1000× faster than LevelDB) • GPU-accelerated encoding (20× latency drop w/ Ingonyama) • Fully modular data & control planes For verifiable systems, data availabili
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