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  • Claude vs Codex: Comparative Analysis of AI Tool Adoption
    Claude vs Codex: Comparative Analysis of AI Tool Adoption

    Claude vs Codex – who is winning? The best data I could find to do a fair comparison between the two. It is not ideal, but some rough indication: – Usage: NPM and Homebrew installs – Footprint: repos with .claude/ or .codex/ – And of the repos how many are being actively

    → View original post on X — @petergostev

  • AI-Powered ETL Workflows Simplify Data Pipeline Processing
    AI-Powered ETL Workflows Simplify Data Pipeline Processing

    Data engineers want AI in their ETL workflows without adding complexity. With Lakeflow and Agent Bricks AI functions, teams can apply AI directly inside data pipelines to process unstructured data, automate repetitive tasks, and turn raw inputs into usable signals at scale.

    → View original post on X — @databricks

  • CUA-Suite: Human-Annotated Video Demonstrations for Computer-Use Agents
    CUA-Suite: Human-Annotated Video Demonstrations for Computer-Use Agents

    CUA-Suite Massive Human-annotated Demonstrations for Computer-Use Agents paper: https://
    huggingface.co/papers/2603.24
    440
    …

    → View original post on X — @_akhaliq

  • Vibe Coding: Productivity Illusion or Addictive Building Cycle

    Vibe Coding: Productivity or Addiction? Vibe coding doesn’t save time it consumes it. When building becomes effortless, ambition grows, projects multiply, and sleep disappears. As Andrej Karpathy noted, it’s less about efficiency and more about being stuck in constant build

    → View original post on X — @learnopencv

  • LLM Architecture Gallery Gets Major Updates and New Diff Tool
    LLM Architecture Gallery Gets Major Updates and New Diff Tool

    Added lots of improvements to the LLM Architecture Gallery in the last 2 weeks. Imho the coolest one yet: A diff tool many of you were asking for! sebastianraschka.com/llm-arc…

    → View original post on X — @rasbt, 2026-03-26 17:55 UTC

  • Essential soft skills for successful developers
    Essential soft skills for successful developers

    do you need soft skills as a developer? what does that look like?

    → View original post on X — @datarobot

  • AI Scientist: Open-source implementations for automated research lifecycle

    Building systems that can execute the scientific research lifecycle has been an incredible journey for our team. For those interested in diving in, we released our implementations for both versions of The AI Scientist: ⸻ V1: github.com/SakanaAI/AI-Scien… V2: github.com/SakanaAI/AI-Scien… ⸻

    → View original post on X — @hardmaru, 2026-03-26 16:30 UTC

  • AI Scientist Nature Paper and Code Released Open Access
    AI Scientist Nature Paper and Code Released Open Access

    The full Nature paper is open access. For those interested in more details, you can read the PDF directly here: https://
    nature.com/articles/s4158
    6-026-10265-5.pdf
    … We also released the code for both AI Scientist versions for the community to explore. V1: https://
    github.com/SakanaAI/AI-Sc
    ientist
    …
    V2: https://
    github.com/SakanaAI/AI-Sc
    ientist-v2
    …

    → View original post on X — @sakanaailabs

  • Agents Need CLI-First Service Provisioning, Not Web UIs

    When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc… I am really looking forward to a day where I could simply tell my agent: "build menugen" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human. It's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction! Patrick Collison (@patrickc) When @karpathy built MenuGen (karpathy.bearblog.dev/vibe-c…), he said: "Vibe coding menugen was exhilarating and fun escapade as a local demo, but a bit of a painful slog as a deployed, real app. Building a modern app is a bit like assembling IKEA future. There are all these services, docs, API keys, configurations, dev/prod deployments, team and security features, rate limits, pricing tiers." We've all run into this issue when building with agents: you have to scurry off to establish accounts, clicking things in the browser as though it's the antediluvian days of 2023, in order to unblock its superintelligent progress. So we decided to build Stripe Projects to help agents instantly provision services from the CLI. For example, simply run: $ stripe projects add posthog/analytics And it'll create a PostHog account, get an API key, and (as needed) set up billing. Projects is launching today as a developer preview. You can register for access (we'll make it available to everyone soon) at projects.dev. We're also rolling out support for many new providers over the coming weeks. (Get in touch if you'd like to make your service available.) projects.dev — https://nitter.net/patrickc/status/2037190688950161709#m

    → View original post on X — @karpathy, 2026-03-26 16:10 UTC

  • Replicate releases Cog 0.17.0 for ML model containerization

    a lot of people wondering what we've been up to after @replicate joined @Cloudflare . excited to share one of the major releases we've been working on together — cog 0.17.0 cog is an open-source tool to package up machine learning models into containers. it abstracts away the hard parts like CUDA dependency hell, optimizes model environments, and automatically creates an HTTP server that's ready to serve inference. you can deploy a cog container anywhere a Docker container runs, which includes your own k8s cluster, replicate, and soon…. workers ai. for now, enjoy this piece of the puzzle and a wonderful engineering story. we have lots more that we're working on and excited to bring to life! github.com/replicate/cog/rel…

    → View original post on X — @replicate, 2026-03-26 16:08 UTC