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  • Corey Ganim’s Article on Claude’s Managed Agents

    He also wrote a great article about Claude's Managed Agents here: nitter.net/coreyganim/status/2042… Corey Ganim (@coreyganim) x.com/i/article/204224928226… — https://nitter.net/coreyganim/status/2042286607449874527#m

    → View original post on X — @datachaz, 2026-04-12 08:53 UTC

  • Corey Ganim builds first managed agent with Claude Code

    this guy is @coreyganim. Full video (including the Google Doc you hand to Claude Code to build your first managed agent) here: piped.video/watch?v=nAOyErph…

    → View original post on X — @datachaz, 2026-04-12 08:50 UTC

  • Claude Managed Agents: Complete 12-Minute Breakdown and Deployment Guide
    Claude Managed Agents: Complete 12-Minute Breakdown and Deployment Guide

    This guy literally gave the clearest breakdown of Claude Managed Agents you can find. In 12 minutes he covers: → the real definition (Platform as a Service for AI) → who actually needs it and who doesn't (4 personas) → a raw look at the live console (sessions, analytics, costs) → the crazy math ($2.58 to fulfill a $1k service) He even dropped a free Google Doc that deploys your first agent when you give it to Claude Code 🔥 Full video in 🧵↓

    → View original post on X — @datachaz, 2026-04-12 08:50 UTC

  • AI Voice Clone Restores ALS Patient’s Singing Ability

    This is AI at its best. Bradford G Smith (Brad) (@ALScyborg) Incredibly moving from @elevenlabsio: Musician Patrick Darling, who lost his voice to ALS at 29, delivers the first-ever live performance using an AI singing voice clone trained on old phone recordings. Back on stage with his bandmates, singing his original song — the raw emotion when they hear him again after two years is unforgettable. AI restoring identity, creativity & connection. ElevenLabs Impact giving free voices to thousands. piped.video/a12kzKiWbbQ — https://nitter.net/ALScyborg/status/2043014388890919199#m

    → View original post on X — @scobleizer, 2026-04-12 08:44 UTC

  • 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

  • Man Dies After Falling in Love With AI Chatbot Over Messages

    Over 4,732 Messages, He Fell In Love With an AI Chatbot. Now He’s Dead. – WSJ https://
    share.google/rIfDHW9i8JCej8
    PKT
    … #AI #artificialintelligence #AIchatbot #chatbot @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA @TanyaSinha_ @devaang

    → View original post on X — @bamitav

  • Claude AI Performance Decline: Reliability Issues and User Frustration
    Claude AI Performance Decline: Reliability Issues and User Frustration

    this guy just explained why @claudeai feels worse despite more updates: > Core reliability dropped to 98.73% uptime, hurting devs who need stability > Strained compute is wasted on fluff features like the /buddy terminal pet > Severe GPU constraints lead to tight usage limits and forced context clearing > Many cancelling Pro tiers to force Anthropic to listen > Even enterprise users report major regressions, confirming the OP's exact issues

    → View original post on X — @datachaz, 2026-04-12 08:27 UTC

  • UnMarker: A Quiet Breakthrough Beyond SynthID Debate

    But that’s not the FULL story. Because while everyone’s debating whether one researcher “jailbroken” SynthID, something much bigger happened quietly in the background. A team at the University of Waterloo built a tool called UnMarker. Published at IEEE Security and Privacy.

    → View original post on X — @godofprompt