Episode Details

If you’ve ever opened a solution and instantly felt overwhelmed by the web of files, references, and bugs waiting to ambush you, you’re not alone. Most developers work reactively—patching here, debugging there. GitHub Copilot’s agent mode aims to hold broader context and coordinate changes across files. In this video, we’ll demonstrate how that workflow looks inside a real .NET and Azure project. We’ll walk through a live solution and show before-and-after agent changes. You’ll see how to generate multi-file code with less overhead, resolve cross-file errors faster, and even use a plain-language spec to scaffold features. And before we get there, let’s start with the hidden cost of the debugging loop so many of us live in every day.The Hidden Cost of Patchwork DebuggingYou sit down to fix an error that looks simple enough. The application won’t build, and the console flags a line in your main project file. You tweak the method, recompile, and think you’ve solved it—until the same message reappears in a slightly different form. Another half hour slips by before you spot the real issue: a missing dependency tucked away in another project folder. By the time the reference is corrected and you redeploy, most of your afternoon has dissolved into patchwork. The feature work you planned? It’s pushed to tomorrow. This pattern is so common it feels normal. On the surface, you’re moving forward because each bug you squash feels like a win. In practice, you’re running in circles. The loop is code, compile, error, fix, repeat. Hours vanish into chasing a trail of cause and effect, and the net result is reactive progress rather than meaningful improvements. How many of you have lost an afternoon to this exact loop? Drop a one-line comment—I’ll read through the top replies. What makes this cycle exhausting is that the tools around us keep advancing while the pattern doesn’t. Editors add new features, frameworks evolve, and integrations grow deeper—but debugging still demands a reactionary approach. It’s like trying to hold back a growing fire with a bucket of water. Each flare-up gets handled in the moment, but the underlying conditions that sparked it remain, almost guaranteeing the next blaze. And with every tab switch, the hidden cost rises. You move from a service class into a configuration file, then jump across to a dependency graph. Each shift pulls you out of whatever thread of logic you were holding, forcing a mental reset. It’s not just the seconds spent flipping windows; it’s the mental tax of reconstructing context again and again. Over a day, those small resets pile up into something heavy. For individual developers, the fatigue shows up as frustration and wasted time. For teams working on enterprise projects, the impact multiplies. Debugging loops drag sprint goals off track, delay feature launches, and open up a backlog that grows faster than it shrinks. The strengthening of technical debt is just another side effect of hours lost to firefighting. Many teams report that a large share of their development time gets siphoned into reactive debugging. It’s not the exciting part of engineering—no one plans a roadmap around chasing the same dependency mismatch five times. Yet this is where bandwidth goes, week after week. When fixing errors becomes the definition of progress, building new features becomes secondary and the architecture suffers quietly in the background. The uncomfortable truth is that patchwork debugging doesn’t just slow things down. It reinforces a culture of reaction instead of design. You’re spending time dousing flames, not constructing systems. That may keep the product alive in the short term, but it limits how far a team can scale and how confidently they can ship. So let’s pause on that image: firefighting. Dash to the hot spot, dump water, move on. The trouble isn’t that developers aren’t good at it—they are. The trouble is that the flames never really stop. They just move around, flaring up in new files,