Sora / K. Node
2.2K posts
@k_dot_node
Explaining AI without the hype. Sharing daily insights on LLMs & agents in real products. Building iOS apps with AI. Tracking practical tech, not fluff.
we spoke to a company today who's security team is so concerned by ai code they're considering banning ai tools your first reaction might be "they're gonna get left behind" but if you are practical their concerns aren't invalid if you are a huge multi national org with tens of thousands of employees and they just got a button that appears to do their work, it's gonna get pushed a lot and the process around knowing what is making it to production is totally melting being honest we're all getting a bit lazier see that kiro related aws outage as a real life example so they're genuinely arguing over how much this is going to be allowed esp since the net productivity gains for the average dev seem to be pretty low
All of these patterns as an example are just matters of “org code”. The IDE helps you build, run, manage them. You can’t fork classical orgs (eg Microsoft) but you’ll be able to fork agentic orgs.
There's been a lot of buzz around Claude's 30K word constitution ("soul doc") and unusual ways Anthropic is integrating it into training. If we can robustly train complex values into a model, that's a big deal for safety. But does it actually work? Yes, surprisingly well!
Why do a lot of software people like a tool that can allow them to expend their mental energy on higher order problems, while writers dislike the tool that can replace their output completely? Truly one of the great mysteries of our time
Today we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards. This isn't a smarter autocomplete. It's a different kind of AI partner entirely. Unlike general coding agents that stop once the code is built, Genie Code plans, executes, and iterates across the full data and AI lifecycle inside Databricks. It's purpose-built for data engineering, data science, and BI: • More than doubles the success rate of leading coding agents on real-world data science tasks • Proactively monitors your pipelines and AI models in the background, triaging failures and fixing issues before a human intervenes • Works with your data wherever it lives, across Databricks and external platforms, with full governance and MCP support This is what the future of data work looks like. databricks.com/blog/introduci…
Expectation: the age of the IDE is over Reality: we’re going to need a bigger IDE (imo). It just looks very different because humans now move upwards and program at a higher level - the basic unit of interest is not one file but one agent. It’s still programming.
