26 stories
Software automation is good at turning instructions into actions. A pipeline can deploy a release, Terraform can provision infrastructure, a runbook can restart a service, or an agent can inspect tele
The following article originally appeared on Elevate and is being reposted here with the author’s permission. A software factory is a repeatable loop around software work. If you’re building a software factory, code good enough to ship still needs human taste and ownership.
Modern software systems are increasingly automated. We automate deployments, infrastructure changes, scaling, incident response, and data pipelines. And now, with AI agents, we are starting to automat
Large legacy migrations often fail long before the final cutover. The failure usually starts when the migration is framed as a single event. Move the application. Move the database. Move all the users
Every knowledge program seems to begin with the same request. A senior engineer is leaving in six weeks, and someone asks her to document the process she’s carried for years. She returns a clean flowchart of the happy path. The drawing is accurate and may even be elegant.
The most dangerous moment in a legacy migration isn't necessarily when you start writing the new implementation. It's when the new implementation looks finished. The code compiles, the tests pass, the
Three engineers each own one service, and the API between them ends up with three separate ways to represent the same customer, because each engineer built the version they understood best. Nobody sat down and designed that inconsistency on purpose.
The moment a team decides to migrate a legacy application, there's usually pressure to start moving code. Move the database, the API, or the UI. Move the application to a new framework, runtime, cloud
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