Chad Supers

Craziest part is we all knew each other already in high school! Along with @randomjohnnyh (Perplexity cofounder), @demi_guo_ (Pika CEO), @stevenkplus1 and Andrew (Cognition), and many others. We all grew up in different states but met thru the olympiad scene. Vividly remember this line from @alexandr_wang when we were around 19: "I hear people saying they want to find the next Paypal mafia. Why shouldn't it just be us?" Glad to see @chameleon_jeff get the recognition he deserves :)

Wow, had to check this myself. Yes, Cursor's agent is Claude Code!

Ok @cognition SWE-1.6 Fast is better than expected. Had it built a quick prototype UI, looks better than what Figma Make generated and is ridiculously fast.

Wow 950 tok/s is insanely fast. I'm really excited for our customers to get this in their hands

At Cognition we're seeing coding agents handling the entire SDLC, going way beyond just coding. Here are some tips and tricks we're seeing dev teams use with agents like @devinai to handle the SDLC: 1. Scheduling daily E2E smoke tests: an automation signs up for your app, goes through onboarding, exercises core flows, and gets a pass/fail report in Slack every morning. You can even watch the screen recording or have it sent directly to you via Slack. x.com/ryancarson/sta… 2. Auto-triaging production errors: it's easy to wire Sentry (or other) webhooks so new errors get root-caused, fixed, and shipped with a regression test before an on-call even has to look at their phone. docs.devin.ai/api-reference/… 3. Scheduling weekly dependency updates: a scheduled session checks for outdated packages, runs your full test suite, and opens upgrade PRs grouped by patch, minor, and major bumps. Merge what's green, review what's not. docs.devin.ai/product-guides… 4. Morning health digests: a scheduled session queries Datadog for error spikes, latency regressions, and failing monitors, then posts a severity-rated summary to Slack before standup. 5. Auto-fix on every PR: Sophisticated review agents like Devin Review catch bugs, security issues, and style violations on open PRs, then automatically push fixes directly to the branch. No back-and-forth in review comments, the agent handles the entire loop. cognition.ai/blog/closing-t… 6. Parallelization of large migrations: for instance scope a REST-to-GraphQL or JS-to-TS migration, split it into conflict-free work packages, and run 8+ sessions in parallel. 7. Scheduling feature flag cleanups after releases: teams leave flags in place as a kill switch after new launches, then never get around to removing them. You can set a one-time session for a week after ship day and the cleanup actually happens: dead code path removed, tests updated, PR opened. (done via Scheduled Sessions) 8. Weekly changelogs: once per week, a scheduled session groups merged PRs by category (features, fixes, improvements), posts the digest to Slack + anywhere else relevant, and updates CHANGELOG.md 9. Reproducing customer-reported bugs from support tickets: paste a customer issue into Slack, tag Devin, and it attempts to reproduce the problem in the browser. You get a screen recording of the reproduction and a filed bug with exact steps-to-reproduce attached. 10. Enforcing your design system: schedule a session that scans merged PRs for hardcoded colors, missing design tokens, style violations, etc... Auto-creates tickets or kicks off sessions for anything that slipped through. 11. Auto-generating API docs from a ticket: create a docs Playbook, sync it as a Linear label, and apply it to any ticket. Devin generates documentation following your conventions and opens a PR. 12. Keeping docs in sync with code changes: schedule a daily session that reviews the previous 24 hours of merged PRs against your documentation. If an API endpoint changed, a config option was renamed, or a feature works differently now, it opens a PR to update the docs before users hit stale information. 13. Racing competing solutions against the same problem: if have a slow API endpoint you launch 3 parallel sessions, each trying a different optimization strategies (caching, query rewrite, denormalization). Compare the benchmarks and merge the winner (this can also be automated) 14. Automated visual regressions tests before every PR: add a repo skill that triggers whenever UI files change. Devin starts the app, screenshots every affected page at multiple viewports, and flags layout breakage, overflow, or missing elements (or you can have Devin autofix them) This type of work is already partially being automated by a lot of teams, but usually by a human in the loop meaning they're taking time away from more important work to do things that don't usually provide immediate impact or business value It's obvious that automating these repetitive tasks frees up engineering time, but to me it's also not a bad recruiting tactic - if you work here you won't be spending any of your time doing boring work.

I use @DevinAI to do a daily e2e automation that signs up my app, goes through onboarding, tests the chat functionality and all of its tools, and then sends me a report every morning. I can even watch the video. I get this report every morning in Slack when I wake up. It's reassuring to know that core functionality in the app is working and if any bugs are found they get auto-fixed

Take 5 min this morning to really understand what Devin did here. This is what the future looks like. And it’s available today.

Clear benefit of having a complete infrastructure around your agentic developers >>

Introducing Simile. Simulating human behavior is one of the most consequential and technically difficult problems of our time. We raised $100M from Index, Hanabi, A* BCV, @karpathy @drfeifei @adamdangelo @rauchg @scottbelsky among others.

Still wild to me that a data software company drops $75 t-shirts and sells out of them. We should all aspire to build a brand people want to buy merch from.

What? This article is crazy. Please don't normalize tech failing to deliver for anyone outside the software industrial complex, again. "One cannot expect significant productivity gains at the pilot level or even at the company unit level." Yes, you can. Do the exact opposite. Demand more ROI, demand it be measurable, demand it faster.

@NathanLands @dr_cintas @FactoryAI What are the stand out reasons why Factory is better? Both seem exciting

@dr_cintas @FactoryAI is amazing, and it's better than Devin, in my opinion. Glad they're finally getting the attention they deserve.

The new Factory software AI agents just combined OpenAI’s Codex, Devin, and Cursor into one product. They are fully autonomous agents called Droids that perform deep code research, technical docs, and do autonomous end-to-end coding. Here’s how it works (with real examples)👇:

The evolution of All-in from the most unique business podcast in America to a knockoff CNN is now complete.

@jawwwn_ This is true. We don't see them in our deals either. Really not competitive technologies. Have chosen to solve different problems.

🚨🐔 $PLTR was mentioned by Wendy’s CEO Kirk Tanner at their Investor Day 🔮 He says their partnership with Palantir gives them a “first mover advantage” 💨 And that they use data captured from their registers, loyalty data and credit card data to make better decisions, such as, where to build a restaurant. “We’re very competitive”

@aphysicist You need something more robust. Try Palantir and our pdf parser module - build.palantir.com. It’s free

why is it still basically impossible to take a huge technical pdf manual of some kind and use an llm to search it accurately

Look under the hood of #Palantir's Customer Service Engine (CSE) as it harnesses data and logic within the Ontology to move beyond traditional chat functions and answer complex customer queries. By integrating with an enterprise's existing data and knowledge, CSE generates a dynamic sequence of context-rich actions to effect real changes across the enterprise—all seamlessly orchestrated by Palantir AIP. youtube.com/watch?v=rr0DzZ…

@jawwwn_ @theallinpod @DavidSacks @chamath x.com/chadwahl/statu…

Proud founder to see @PalantirTech added to S&P 500! Congrats to all: Alex, Peter, Stephen, @ssankar & Aki et al, and 1000s more who contributed over the years. Not as important as bad guys eliminated, liberty preserved, billions $s saved or other impact, but a fun milestone!