This is a critical post to read if you’re building an applied AI company right now. “An application earns its place in the untrainable corner by doing unglamorous work: arranging a company's private reality so a model can act on it, handing the model the tools to act, working with the customer to change the reality of its workforce. A company that brings the translation is tough to copy – and the translation never ends. Integration and maintenance run as long as the relationship does, won by teams that put domain-specialized engineers and tools next to the customer.” There’s still an insanely large gulf between model capabilities and what it takes to apply them to specific corporate workflows. Some of that is technology that needs to be built, a lot is access to (and formatting of) the right data to work with, and a ton more is on the change management and specific implementation work (FDEs, etc.) it takes to make AI work in any specific corporate setting. 2 things can be very true at once: frontier models and labs will continue to grow an incredible amount, and there will be a vast ecosystem of software and services companies that emerge to bring the power of these models to real enterprises. This makes room for new infrastructure provides, applied AI companies in every vertical, new versions of system integrators, and more players. Incredibly exciting time on all fronts.

This is what the market got wrong about AI eating enterprise software. Building good software in the past was very hard. Yes, AI has made that a bit easier, though it’s still hard to build something that’s got good taste, differentiated, high quality, secure, and so on. But nevertheless, that’s only one component of building a platform that enterprises rely on. The plurality of costs in most enterprise software companies is actually on GTM, because at scale most enterprise software categories are tough to break into and need a heavy amount of consultative selling and support for implementation and integration of solutions. AI hasn’t reduced the need for that, and in many cases requires it even more now, as landscapes get even more busy and complicated for buyers to navigate through. If you make one thing cheaper and more abundant (development of software) then the new problem of discoverability and market differentiation (GTM) becomes the hardest part.

Using Claude Opus 4.8 to switch to main and pull

Got a new MacBook recently, and this is probably the most useful thing I've added so far: a `publish` shell function that pushes the current directory to a new private repo.

Yes!

You can now see a breakdown of your agent's context usage in Cursor 3.3. Use these stats to diagnose context issues and improve your setup across rules, skills, MCPs, and subagents.

I literally just watched GPT-5.5 via codex beat an Amazon customer associate in real time. 💀 I asked it to get me a refund, and I watched it navigate the settings, cancel the subscription, then it went step further into the help page. I thought it was going to request a phone call (which would prompt me to take over) Instead, it opened: “Chat with an associate now.” That’s when I sat up on my couch because I knew it was going to get real The agent said: “Your subscription is active.” And GPT-5.5 immediately explained that it only shows as active because cancellation leaves access through the billing period, but that I wanted it stopped now and refunded. And my jaw just hung open, it was the first time I watched sand handle a customer service agent for me in real time Once the agent confirmed the refund, it just ended the chat no mercy no thank you LMAO First time I’ve watched a human customer service agent get outmaneuvered by AI in real time. And it made me 15$! almost paid for itself in 5 minutes

AI bois be like:

Is it wrong that I actually really dig this song? Lol

I actually rewrote this course three times 🙈 Coding agents and their best practices are changing quickly, making creating educational content quite difficult. This course comes after 10 different talks I've given about how Cursor uses Cursor internally, and hundreds of conversations with customers about the best ways to use agents. I tried to find the right balance between being useful today *and* foundational for your future. Let me know what you think! And now onto the next one...

yo @taylorotwell, one of the only words you can spell completely in a hex color. It's a sign 💫

We have one hard rule on ClawMart: No fluff skills. If it doesn't save you an hour a week or make you money, we don't feature it. That's a curation call every marketplace eventually has to make. Most wait too long.

الفرق بين البروتين والعضلات الحقيقية

You need to understand one fact about OpenClaw People are biased and incentivized to spread disinformation about OpenClaw. That is because OpenClaw IS NOT PUMPING ANYONE’S BAGS, unlike most other projects Literally every other for-profit agent product is incentivized to trash OpenClaw, BECAUSE OpenClaw is a neutral third party across the industry and geopolitical scene. They MAKE MONEY when OpenClaw loses OpenClaw does not worry about making money for some investors. Its founder @steipete is a successful exited founder. He is motivated by having fun and democratizing AI, literally. That is why he is suddenly so loved by everyone. He cares about PEOPLE, not MONEY “OpenClaw is bloated” -> Since beginning of March, OpenClaw is thinning its core and putting functionality in plugins behind a plugin SDK. Having numerous plugins to choose from does not mean bloat. This was already copied by others and is still a work in progress “OpenClaw is not secure” -> OpenClaw has the most eyeballs and immediately addresses any security advisories as soon as they come. It is the most secure agent, by sheer pressure “OpenClaw is bought by OpenAI” -> Then why is my bank account so empty bro??? All maintainers are literally unpaid and working DOUBLE beside their dayjobs to ship features to you. Do you think VC money can buy that kind of commitment? Once you understand these facts, you’ll like OpenClaw even more. Because OpenClaw is your AI, People’s AI And you can join us too. OpenClaw is the easiest-to-join project in AI right now. You just need to start using it, and start making good contributions. If you are competent, you can become a maintainer, and join the rest of the team making history!

SENIOR ENGINEERS ARE QUIETLY SWITCHING FROM CLAUDE CODE TO CODEX AND HERE'S THE BRUTAL BREAKDOWN a 14-year principal engineer spent ~120 hours co-developing (not vibe coding) across both tools on an 80k LOC python/typescript project. here's what he found: Claude feels like an engineer on a time crunch: > speeds toward getting things working > ignores CLAUDE.md at least once per session > leaves tasks half-done mid-migration > changes tests to match what IT thinks the goal is > almost never creates new files — just bloats existing ones Codex feels like a 5-6 year senior: > stops mid-task to rethink and refactor unprompted > never once ignored AGENTS.md > doesn't extend god classes — it factors them out > does things you hadn't thought of that are actually additive > you can fire it off and come back when it's done the raw numbers: > Claude: more done per session, more cleanup every few days > Codex: 3-4x slower, but the work is just better > Codex Pro x5 ≈ Claude Max x20 in usage caps the real difference: > Claude needs a skilled, focused driver or it goes off the rails > Codex demonstrates competence and earns autonomy his verdict: > vibe coding a weekend project? Claude wins > building enterprise software? Codex wins "Claude requires a skilled, focused driver more than Codex does" both give crap output if you don't know SWE. the tool isn't the skill.

Most "AI tools" are wrappers. You know this. The demo looks clean, the GPT call costs $0.002, the Stripe page is live by Thursday. What's actually hard is the second month. Support. Edge cases. Users who use it wrong. That's when you find out if you built a product or a demo.

@cursor_ai Why don’t the model pickers on cursor.com/agents and the new Agents UI match? 🤔 Long-running agents are incredibly useful—would love to deploy them via the new Agents UI too.

This is nuts.. what's even more nuts is the ai haters.. if you see the Google reviews form the physical store it's like 2.6 stars out of 20.. lots of hate for such a cool project 😔

Another image converted to code with Meta Muse spark. hard to believe this was all in one prompt