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Wow. Sequoia just backed a startup going after Devin, Cursor, and OpenAI Codex. Their agents can read your entire codebase, write, test, fix, and merge PRs automatically It’s like having a fully autonomous software engineer by your side, 24/7. Examples 👇

36,734 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

First, use this link to get 10M tokens: They call their Agents "Droids". Droids pick up tasks, plan the solution, generate tests, and deliver merge-ready pull requests.

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

When production fails, Droids trace the root cause, post the RCA, and open a PR before the pager cools.

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

Droids unpack complex systems and return polished, professional-quality documents like deep-dives and RFC-ready reports.

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

Let me know what you think, I can't wait to see what this will look like in 3-4 years.

Profilbild von NICE
NICEvor 1 Jahr

Stay competitive by balancing cutting-edge AI with automation tools. Forrester shows how.

Profilbild von Robert Scoble
Robert Scoblevor 1 Jahr

I am not an investor or involved. But here I interview the founder and go into depth about what @FactoryAI does:

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

@FactoryAI Love it

Profilbild von Sam
Samvor 1 Jahr

It only uses 3.7 sonnet?

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

Good question @matanSF

Profilbild von Tsukuyomi
Tsukuyomivor 1 Jahr

so basically, we’re one step closer to a world where software engineers can binge-watch Netflix while their AI clones do all the work. sounds fun, right?

Profilbild von Lior⚡
Lior⚡vor 1 Jahr

Yes

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Dan Shipper 📧

145,487 Aufrufe • vor 1 Jahr

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

Santiago

25,804 Aufrufe • vor 4 Monaten