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  • Agent Skills: AI Coding Agents with Engineering Best Practices
    Agent Skills: AI Coding Agents with Engineering Best Practices

    If you found this useful, a like or RT goes a long way 🦾 Follow me → @datachaz for insights on LLMs, AI agents, and data science! Charly Wargnier (@DataChaz) 🚨 ICYMI @addyosmani from Google just dropped his new Agent Skills and it's incredible. It brings 19 engineering skills + 7 commands to AI coding agents, all inspired by Google best practices 🤯 AI coding agents are powerful, but left alone, they take shortcuts. They skip specs, tests, and security reviews, optimizing for "done" over "correct." Addy built this to fix that. Each skill encodes the workflows and quality gates that senior engineers actually use: spec before code, test before merge, measure before optimize. The full lifecycle is covered: → Define – refine ideas, write specs before a single line of code → Plan – decompose into small, verifiable tasks → Build – incremental implementation, context engineering, clean API design → Verify – TDD, browser testing with DevTools, systematic debugging → Review – code quality, security hardening, performance optimization → Ship – git workflow, CI/CD, ADRs, pre-launch checklists Features 7 slash commands: (/spec, /plan, /build, /test, /review, /code-simplify, /ship) that map to this lifecycle. It works with: ✦ Claude Code ✦ Cursor ✦ Antigravity ✦ … and any agent accepting Markdown. Baking in Google-tier engineering culture (Shift Left, Chesterton's Fence, Hyrum's Law) directly into your agent's step-by-step workflow! `npx skills add addyosmani/agent-skills` Free and open-source. Repo link in 🧵↓ — https://nitter.net/DataChaz/status/2043246635996807300#m

    → View original post on X — @datachaz, 2026-04-12 08:35 UTC

  • Addy Osmani’s Agent Skills: 19 Competencies to Enhance AI Coders
    Addy Osmani’s Agent Skills: 19 Competencies to Enhance AI Coders

    🚨 ICYMI @addyosmani from Google just dropped his new Agent Skills and it's incredible. It brings 19 engineering skills + 7 commands to AI coding agents, all inspired by Google best practices 🤯 AI coding agents are powerful, but left alone, they take shortcuts. They skip specs, tests, and security reviews, optimizing for "done" over "correct." Addy built this to fix that. Each skill encodes the workflows and quality gates that senior engineers actually use: spec before code, test before merge, measure before optimize. The full lifecycle is covered: → Define – refine ideas, write specs before a single line of code
    → Plan – decompose into small, verifiable tasks
    → Build – incremental implementation, context engineering, clean API design
    → Verify – TDD, browser testing with DevTools, systematic debugging
    → Review – code quality, security hardening, performance optimization
    → Ship – git workflow, CI/CD, ADRs, pre-launch checklists Features 7 slash commands: (/spec, /plan, /build, /test, /review, /code-simplify, /ship) that map to this lifecycle. It works with:
    ✦ Claude Code
    ✦ Cursor
    ✦ Antigravity
    ✦ … and any agent accepting Markdown. Baking in Google-tier engineering culture (Shift Left, Chesterton's Fence, Hyrum's Law) directly into your agent's step-by-step workflow! `npx skills add addyosmani/agent-skills` Free and open-source. Repo link in 🧵↓ [Translated from EN to English]

    → View original post on X — @datachaz, 2026-04-12 08:35 UTC

  • Scobleizer reveals the secret story of Siri and Steve Jobs

    The Siri team says only two people got it. Me and Jobs. The full story behind Siri for those who care: piped.video/IY5E3fnlucc?si=ILSCED3xU1Qle1Ke (it was launched in my house, and something worth bragging about. It was the first consumer app to use AI.) Kyros (@IamKyros69) When Steve Jobs bought Siri for $200M before the world understood why (2010)
    https://nitter.net/IamKyros69/status/2042860821819330676#m [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-12 07:41 UTC

  • European Defeatism in Tech Race: Losing Before Starting

    Europeans are worldclass at defeatism. The race doesnt even start yet. “Welp lost. But the next one we can do!” Constantly in tech

    → View original post on X — @andreasklinger

  • Memory Portability: Next Major Battle in Tech Switching Costs

    Memory portability is going to be the next big fight Sarah. The switching cost only goes up from here.

    → View original post on X — @whats_ai

  • OpenAI Clarifies 5x vs 10x Terminology Confusion

    Good on OpenAI for clarifying. The 5x vs 10x wording tripped up a lot of people.

    → View original post on X — @whats_ai

  • Muse Spark outperforms expectations after year without Meta models

    I think Muse Spark came in far better than most were expecting as the first new model attempt from Meta, especially given the fact that it has been a year since Llama 4 with no models at all (and that Llama 4 was generally considered a dead end).

    → View original post on X — @emollick

  • X’s real-time translation breaks down language barriers globally
    X’s real-time translation breaks down language barriers globally

    The Tesla community meets in audio spaces here almost every night and many have new friends in Japan, they report. Dustin (@r0ck3t23) The internet was supposed to connect the world. It connected the infrastructure. The people stayed divided. For thirty years, a Japanese user and an American user existed on the same network and couldn’t understand a single word the other one typed. The information was accessible. The conversation was not. Language was the last wall. And nobody was building a door. X just removed it. Calacanis: “This auto-translate feature has done more for understanding across borders than anything I’ve ever seen.” Grok is integrated directly into the platform. Every post, every reply, every thread. Translated in real time, both directions, automatically. A user in Tokyo writes in Japanese. You read it in English. You reply. They read your response in Japanese. Neither of you switched a setting. Neither of you copied text into a translator. The friction simply doesn’t exist anymore. Calacanis: “People who don’t speak the same language engaging on X in a very nuanced, fun, interesting way. And that, as a truth mechanism, is just absolutely extraordinary.” This has never existed before. Not at this speed. Not at this scale. Not with this level of nuance preserved. Previous translation tools gave you the words. They butchered the tone, the context, the cultural weight behind them. An LLM doesn’t just translate language. It translates intent. Sarcasm. Subtext. The meaning underneath the words. That changes what’s possible on the platform. Americans, Japanese, Israeli, French, Russian, and Middle Eastern users debating, arguing, laughing, and exchanging culture directly. No journalist filtering the message. No editor deciding what’s relevant. No network choosing which perspectives get airtime. Peer to peer. Unmediated. Unfiltered. Calacanis: “Journalists are not even taking the time to translate and cover what’s going on in those areas, and this is happening automatically in real time.” For decades, your understanding of another country was shaped entirely by whichever outlet decided to cover it. If they didn’t translate it, you never saw it. If they did, you saw their version of it. That filter is gone. The raw, unedited perspective of every culture on Earth is now accessible to every other culture on Earth. Instantly. Without permission. Without a middleman. That is what a real town square looks like. Not a platform where people from the same country talk to each other in the same language about the same news cycle. A platform where the entire species can hear each other for the first time. X didn’t just build a social network. It built the first global conversation where language is no longer the barrier to entry. The walls between cultures were never ideological. They were linguistic. The wall is down. And 8 billion people just entered the same room. — https://nitter.net/r0ck3t23/status/2043192741761306972#m

    → View original post on X — @scobleizer, 2026-04-12 05:44 UTC

  • Platforms monetize attention hijacking and paid solutions equally
    Platforms monetize attention hijacking and paid solutions equally

    Platforms charge companies to hijack our attention, then charge us to reclaim it.
    A very elegant way to monetize both the problem and the fake solution. YouTube perfected the art of monetizing both the interruption and the escape. #AI #Advertising #AttentionEconomy

    → View original post on X — @pascal_bornet