the dependency point is the real argument for bundles. a code review skill without a testing skill loaded gives you half the signal, and the agent has no way to know what's missing. bundles encode that pairing explicitly. you stop relying on the user or agent to remember which
AUTOMATION
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AI Enters the Kill Chain: Unity in Principle, Variation in Practice
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Unity In Principle, Variation In Practice: When AI Enters the Kill Chain! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Casual AI agent usage anecdote
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It is awesome (I use it as a shared brain for my Hermes and OpenClaw Agents)
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Databricks Apps & Agents for Good Hackathon at Data + AI Summit 2026
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The Databricks Apps & Agents for Good Hackathon is back at #DataAISummit 2026! In partnership with @OpenAI
, this two-day hackathon brings developers, engineers, and AI builders together to create agentic data applications for social impact using Lakebase, Agent Bricks, and -
AI Agents for Automated Code Hardening and Audit
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Kakuna: skills with checklists that only know how to harden your codebase /plan with it then let it /goal for a day, it comes back with same functionality but all the boring stuff done for you + an audit of its own work. focus on subagent parallelism and encodes strong
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Solo founder raises $30M for AI company Polsia with zero employees
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Be like Ben Cera.
— Charly Wargnier (@DataChaz) 22 mai 2026
> a solo founder who just raised $30M at a $250M valuation
> he built Polsia, an AI that can run your whole company, ENTIRELY alone
> it’s already at $10M ARR with ZERO employees
…the AI even pitched the VCs itself 🤯
UNREAL execution https://t.co/7YOGMUJRXv pic.twitter.com/Cyomlq9hvCBe like Ben Cera. > a solo founder who just raised $30M at a $250M valuation
> he built Polsia, an AI that can run your whole company, ENTIRELY alone
> it’s already at $10M ARR with ZERO employees …the AI even pitched the VCs itself UNREAL execution -
Building autonomous AI agents with reasoning, planning, and adaptation
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Building Agentic AI Systems — Create intelligent, autonomous AI agents that can reason, plan, and adapt: http://
amzn.to/4dvxf8Z via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Understand the foundations and advanced techniques of building intelligent, autonomous AI agents -
Open Source Deep Research for Agent Harnesses with AI-Q Skills
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Say hello to open source deep research for your favorite agent harness.
— NVIDIA AI (@NVIDIAAI) 22 mai 2026
Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back… pic.twitter.com/u7tVWvCUWdSay hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back
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Check out the new Airtable agent platform by @howietl and the team!
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when @howietl and the great minds behind @airtable ship a new agent platform, you don't scroll past. Test it out here → https://
hyperagent.com -
Autonomous AI Partner for Data Pipelines in Lakeflow
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🧞 Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience.
— Databricks (@databricks) 22 mai 2026
With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
•… pic.twitter.com/9zy2S2yvOrGenie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience. With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
•