Why Agents Break Without Observability

Your Codebase Should Be AI-Friendly

Software used to be written for people to read. Now? It needs to work for LLMs too. In this episode of Dot Slash Deploy, co-hosts Austin Vance, Micah Adams, and Shahed Syed explore what it means to build AI-friendly codebases. From LLM-first design to documentation tricks, they dig into the future of developer experience, where your next contributor might be a machine.

Building AI agents that actually work

Not all AI agents are equal, and most aren’t saving you time. In this episode of Dot Slash Deploy, co-hosts Micah Adams, Austin Vance, and Shahed Syed get tactical about where AI actually boosts productivity. From CI/CD speed-ups to boilerplate crushing, they unpack the real-world wins (and misses) of putting AI in your dev stack. Skip the fluff, this is where AI earns its keep.

How to Integrate AI Without Breaking Everything

Adding AI to a legacy system sounds like a fast track to the future, but more often, it’s a recipe for confusion, bugs, and blown budgets. In this episode of Dot Slash Deploy, co-hosts Micah Adams, Austin Vance, and Shahed Syed explore what really happens when modern AI meets old tech. From real-world war stories to hard truths about architecture, this one’s a must-listen if you're planning to make your software smarter.

Why Agents Break Without Observability

If your system ships features but hides failures, you’ve got a visibility problem. In this episode of Dot Slash Deploy, co-hosts Austin Vance, Micah Adams, and Shahed Syed break down what real software observability looks like in 2025. From tracing to metrics to logs (and the traps teams fall into), they explore how to build systems that talk back—and why that matters more than ever.

Agent Sprawl Will Wreck Your Projects if You Ignore This

Agent sprawl is getting out of control. In this episode of Dot Slash Deploy, co-hosts Austin Vance, Micah Adams, and Shahed Syed challenge the assumption that everything needs to be an agent. They break down when automation becomes over-engineering, how to tell signal from hype, and what makes an agent truly useful. If your team is drowning in bots, scripts, and self-proclaimed "smart systems," this one’s for you.