Lars Lykke

@llykke.bsky.social

Agent of change and father of 3 in a world of software development

I’m starting to see a trend where agents skills are being used as an alternative to fixing existing developer experience problems and it’s starting to annoy me. Skills are making people lazy and are becoming a band aid, abstracting away the bad experience and leaving the agents to work it all out.

The thing about apps that take meeting notes is that even if they were perfect, I personally wouldn't use them, because I cannot focus on meetings but I can focus on writing, so by writing out the meeting I trick myself into paying attention

Keep one person on an AI safety team who never uses LLMs, ever? The worry is a slow con, these tools quietly earning your trust. You'd want one person whose immunity stays intact.

A Wednesday lunch meeting turned "that's not possible" into "we shipped it last week". That is the short version of a Community of Practice that worked. A thread on the format that moves knowledge between teams the org chart was designed to keep apart.

alright friends and computationists, what are the signals you pick up on that make you think a team has high engineering discipline? (whatever "high" means to you) i'm not talking science or evidence. i'm talking casual conversation, heuristics, no evidence whatsoever, just radar. what trips it?

I'm not saying AI tooling can't help. But if we're not measuring actual outcomes, we're just confirming our own bias. Start measuring. Compare cycle times, defect rates, rework. Don't let a feeling of speed substitute for evidence of speed. >>>

New article where I offer definitions & a mental model how to think about harness engineering as coding agent users. Building blocks at our disposal, dimensions and goals to consider; emerging practices, open questions; and of course, what role do humans play martinfowler.com/articles/har...

Harness engineering for coding agent users

A mental model for building trust in coding agents through feedforward guides, feedback sensors, and iterative harness engineering.

martinfowler.com

This is one of the things collaborative software design is fundamentally about: making implicit knowledge explicit. The opinions, the preferences, the emotions behind a technical stance, they don't disappear when you ignore them. They just go underground and shape decisions anyway, invisibly. >>>

And so it’s a wrap! I’ve been attending the Agile Meets Architecture 2026 #amaberlin @amaconf.bsky.social in Berlin and my head is still buzzing from all the insights on how we (could?) shape both systems, organisations and ways of working through architecture. …and sometimes the other way round 😉

If using agentic ai corresponds to ingesting more work into a system (e.g.generating code) but we’re not moving faster? So using ai didn’t remove the right bottleneck in a theory of constraints type of way? During a discussion I got the feeling that value-stream-mapping and LEAN are still relevant.