If the first wave of enterprise AI was about proving value, the next wave is about making that value scale. And this is where many organizations are encountering a structural limitation they hadn’t anticipated.Despite strong individual use cases, AI initiatives…
Not every technology shift changes software architecture. Many simply introduce another layer into the stack. A new framework replaces an older one. A faster database improves performance. A different cloud provider reduces infrastructure costs. Engineering teams adopt the technology, adjust…
Walk into almost any engineering organization today, and you’ll hear a familiar claim.“We’re becoming AI-native.”Ask what that actually means and the answers vary wildly.“We use GitHub Copilot.”“Our developers use ChatGPT.”“We’ve automated code reviews.”“We’re experimenting with AI agents.”None of those are…
Every CTO is under pressure to have an AI strategy.The result is predictable. AI quickly becomes part of every product roadmap.Sometimes that’s exactly the right decision. Sometimes it isn’t. The difficult part is that both scenarios often look identical in…
Software engineering ran on pure adrenaline over the last decade. Everyone rushed to split up monoliths, automate builds, and run endless agile cycles. Then AI tools showed up with a simple promise—multiply your code output by ten. Fast-forward to today:…
A few years ago, the board of directors at a global financial institution reviewed the outcomes of a massive technology initiative. The enterprise had spent eighteen months rolling out AI coding assistants to over four thousand software developers. The project…
Software engineering leadership is caught in a quiet, frustrating trap.Walk into almost any quarterly business review or executive board meeting, and you’ll witness the exact same script playing out. CFOs keep demanding a line-by-line accounting of R&D spend. At the…
By Benoit PostAcross engineering, operations, customer experience, and analytics, AI is improving decisions, accelerating workflows, and unlocking new efficiencies. Someone built a copilot that reduced manual effort. Another team automated a decision workflow. A data science group proved that a model could…
AI won’t fix broken DevOps. But it will expose it.For years, DevOps has promised us the ultimate trifecta: faster releases, seamless collaboration, and rock-solid software. Naturally, organizations bought in. They poured massive budgets into CI/CD pipelines, embraced infrastructure as code,…
We are currently living through one of the greatest misdirection in the history of software engineering.When generative AI first broke into the mainstream, the entire industry hyper-focused on a single, simplistic question: How much faster can a developer type code?Wall…