16 stories
In my previous article, I explored executor independence: the idea that different execution mechanisms should be able to satisfy the same operational specification. By executor independence, I mean th
Sending an email doesn't always mean it will reach the recipient's inbox. Sometimes, an email is sent successfully by an application but ends up in the spam folder instead. This can be a real problem
In my previous article, I argued that software automation needs a layer between operational intent and execution. The reason is simple: the specification should describe what success means, and the ex
It's Thursday, around quarter past two. Your team shipped an internal assistant two weeks ago. The demo went well enough that someone in finance asked whether it could read contracts. Word spread. Tod
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
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
A radiologist can mark a tumor on a CT scan by drawing a straight line across it. Creating a complete 3D segmentation requires outlining the tumor across the slices where it appears, which is more tim
AI coding assistants have become really good at fixing code. Paste an error into an AI tool and, within seconds, you'll get a corrected implementation. That's useful when you simply want to get someth
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
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
So you shipped your AI feature and it works in demos. Your team is impressed. Then a user asks a question slightly outside your test cases and the model confidently returns something completely wrong.
On August 13, 2026, DeepSeek published a GitHub repository called deepseek-harness. Within two days, it had passed 95,386 stars and 8,826 forks (a vanity metric on its own, but a spike this fast signa
Building an app used to feel like assembling furniture without instructions, while missing half the screws. Today, AI-powered tools such as Lovable can help you turn an idea into a working web applica
Machine learning can sound much more complicated than it actually is. You hear words like models, training, features, datasets, predictions, and algorithms, and it can feel like you need a PhD in math
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
When a vulnerability scanner reports 23 vulnerabilities in your application, of which 4 are critical, 7 are high, and the remaining 12 are medium, at first glance the answer seems clear: start patchin
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