There is a worry creeping through boardrooms that nobody quite wants to say out loud: if we are all using the same AI tools, trained on the same data, producing similar outputs, where exactly does competitive advantage come from?
Race conditions are some of the most frustrating bugs in software because they appear and disappear based on timing. For vibe coders building with AI tools, they often show up only after real users arrive. This article explains what race conditions are, where they hide, and how to think about them before writing code.
On Saturday, February 14, from 4:00–5:00 PM ET, I as invited to host a Learn Out Loud session with The AI Salon focused on what actually happens between prototype and production.
Regression testing is how you protect working features while continuing to build new ones. For vibe coders moving fast with AI tools, it provides confidence that changes do not quietly break existing behavior. This article explains what regression testing is, what to protect first, and how to think about it before writing code.
By the end of 2026, Gartner predicts that 40% of enterprise applications will have AI agents built into them. That’s up from less than 5% at the start of 2025. But here’s what makes this different from the usual AI hype cycle: companies are actually seeing results. According to a recent PwC survey, 79% of organizations say they’re already using AI agents in some capacity. Among those who’ve deployed them, two-thirds report measurable productivity gains. So what changed? And what does this mean for organizations still trying to figure out whether AI is worth the investment?
Background jobs are how real applications stay fast, reliable, and scalable. They move slow or failure-prone work out of the user request and into systems designed to handle it safely. This article explains what background jobs are, why vibe coded apps often need them sooner than expected, and how to think about them before you start coding.
Vibe coding had its moment. But here’s what I’ve been seeing: a lot of those prototypes aren’t making it to production.
This isn’t a failure of vibe coding. It’s just what happens when you reach the edges of what any tool can do on its own. So what comes next?
Retries seem simple. Just try again.
But retrying the wrong thing, at the wrong time, can turn small failures into outages and duplicate data. This article explains retry strategies for vibe coders, when retries help, when they hurt, and how to design them intentionally before writing code.
Auditing is how systems explain themselves after something goes wrong. It answers who did what, when it happened, and why it was allowed. For vibe coders, auditing often feels like a future problem, but any system that handles users, data, or decisions eventually needs a trustworthy history of actions. This article breaks down auditing as a design concern, not a compliance checkbox, and shows how to think about it before you write code.
