Discovering legacy software with AI
Sometimes we don't need ultra-sophisticated machinery to run a discovery exercise on legacy software, and AI can be a great help.
Software, mostly
Modesto San Juan
I write about software development. Not often: only when I feel like it and when I think I have something worth sharing.
Recent
Latest posts
October 23, 20269 min
The Event Dilemma: Do's and Don'ts
Events can reduce coupling, absorb load and help systems scale, but you pay for them in complexity.
June 24, 202619 min
Where do good development practices stand in the age of AI?
We picked practices by weighing cost against benefit, and AI has changed both sides of the scale. A tour of which practices get cheaper, which feed the model's context and tools, and where to be careful.
May 5, 20263 min
Some is not actionable
Vague claims like some users are affected need enough context before they can support a decision.
April 29, 202515 min
Learning the actor model through a real case
The actor model is old, simple and rarely used. Its two primitives, how it handles concurrency, and how I used it in Akka.NET to build a small monitoring tool for on-premise installations.
April 29, 202411 min
Developing from a narrative perspective
Building the right software has more to do with telling than with programming. Every story manipulates a little, so own the story and pick the tool that fits your context, from impact mapping to the C4 model.