I’m about to head away from looking after this site for a few weeks (part vacation, part work stuff). As I contemplate some weeks away from the daily routine, I feel an urge to share some scattered thoughts about the state of LLMs and AI.

A common enterprise problem: crucial legacy systems become “black boxes”—key to operations but opaque and risky to touch. Thiyagu Palanisamy and Chandirasekar Thiagarajan worked with a client to use AI-assisted reverse engineering to reco

The Bahmni open-source hospital management system was began over nine years ago with a front end using AngularJS and an OpenMRS REST API. Rahul Ramesh wished to convert this to use a React + TypeScript front end with an HL7 FHIR API. In explorin

CLI coding agents are a fundamentally different tool to chatbots or autocomplete tools - they're agents that can read code, run tests, and update a codebase. Ben O'Mahony explains that while commercial tools are impressive, they don'

A few weeks ago, Unmesh Joshi and I started having a conversation about how he likes to grow a language of abstractions when working with an LLM. We thought this was a conversation that others might find interesting so we turned it into an artic

Back in the days when I did live talks, one of my abilities was to finish on time, even if my talk time was cut at the last moment (perhaps due to the prior speaker running over). The key to my ability to do this was to use Expansion Joints - parts of

OKRs have become a popular way to connect strategy with execution in large organizations. But when they are set in a top‑down cascade, they often lose their meaning. Teams receive objectives they didn’t help create, and the result is weak commitment an

Sriram Narayan concludes his article in impact intelligence by addressing five common objections to this activity, including slowing down, lack of agility and collaboration, and the unpredictability of innovation.

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Abi Noda observes

Just met with a 2000+ eng company. Their developers are saving 2+ hours per week thanks to Copilot.

But they’re also losing:

• 3 hrs per week due to slow builds
• 4 hrs per week on dev

Sriram Narayan continues his article on impact intelligence by outlining five actions that can be done to improve impact intelligence: introduce robust demand management, pay down measurement debt introduce impact validation, offer your CFO/COO

The productivity of knowledge workers is hard to quantify and often decoupled from direct business outcomes. The lack of understanding leads to many initiatives, bloated tech spend, and ill-chosen efforts to improve this productivity. Sriram Narayan

Birgitta Böckeler reports on a series of experiments we did to explore how far Generative AI can currently be pushed toward autonomously developing high-quality, up-to-date software without human intervention. As a test case, we created an agent