Posts

Forget the “Golden Age of Agile.” That party is over. We are currently living through the most aggressive inversion of software engineering since the compiler replaced punch cards. If you’re still measuring success by your ability to close Jira tickets or write clean syntax from scratch, you are essentially manually tuning a channel on a transistor radio while the rest of the world is streaming 4K video. We have moved beyond “tools” and into the era of the AI-Driven Development Life Cycle (AIDLC)—an ecosystem where the machine doesn’t just assist the work; it executes the work. ...

Everyone is telling us that the Fourth Industrial Revolution is here. The promise is seductive: AI copilots that know everything, code everything, and debug everything. For a Salesforce Architect like me—someone who spends their days architecting secure, scalable systems at the enterprise level—the pitch is that I can finally offload the boilerplate. But the reality? It’s… jagged. Whether I’m using ChatGPT, Gemini, MS Copilot, or early versions of Agentforce, I keep hitting a wall. It’s not just that the AI doesn’t know things; it’s that it hallucinates them with total confidence. It invents features that don’t exist and writes code that looks perfect but crashes instantly. ...

Everyone is building chatbots right now. It’s the “Hello World” of the AI era! But here is the dirty secret of Enterprise AI: Latency and Tokens are the new technical debt. If you simply paste a Python demo into a Salesforce Flow, you aren’t building an agent—you’re building a generic “chat” interface that burns cash and hits timeouts. I learned this the hard way. I set out to build Revenue Radar, an agent that analyzes massive 40-page earnings calls. ...