Insights
Practical thinking on legacy modernization, building MVPs, and deploying AI that actually works.
May 22, 2026
A one-hour outage at a mid-size SaaS company costs far more than most expect. The direct revenue loss is just the start. Here is how to put real numbers on app instability, and why fixing it pays off faster than most think.
May 20, 2026
Your board tracks revenue, churn, and burn. Almost none of them track application instability as a business risk. That gap doesn't protect you. It just means when the system fails, the board finds out the hard way. Here is how to change that conversation.
May 19, 2026
It's 2am. Your on-call engineer just got paged. Again. And the fix is a bandage on a bandage on a system nobody fully understands anymore. The problem isn't your team. It's your architecture. Here is how to tell the difference, and what to do about it.
May 15, 2026
Deferring legacy modernization looks rational on paper — the risk is real, the cost is visible, and the system technically still works. But every quarter you defer, the actual cost compounds in ways that never show up on a single line item. Here's how to see the full picture.
May 13, 2026
3 AM pages. Rollbacks that don't hold. A team that's exhausted and losing faith. If your system is actively in crisis, incremental improvement isn't enough. You need a focused stabilization engagement. Here's what that looks like and what it delivers.
May 11, 2026
Big-bang rewrites fail more often than they succeed. Incremental modernization, done right, lets you retire legacy systems in phases without halting the business. Here's the actual methodology, including how to pick your starting point and sequence a 3-6 month sprint.
May 8, 2026
The engineer who built your legacy system left three weeks ago. Now your team maintains code nobody fully understands, and every change feels like defusing a bomb. Here's how teams end up in this situation, what it's actually costing you, and how to start getting out.
May 6, 2026
Most legacy modernization projects fail before they start. Not because of bad code, but because of bad assumptions. These five myths are the most common culprits. Here's what's actually true, and what a smarter approach looks like.
April 28, 2026
Hallucintations in AI are real. Discover how to use AI to help you identify when it is going off the rails.