A colleague of mine, Joe Coy, recently told me something that stuck with me. His team had chosen Maestro over Appium for mobile UI testing. The team’s reasoning made a lot of sense: Maestro was lightweight and easier to set up. By every traditional measure, it was the right call. Then they started using an […]
A Note From the Author: As SEP’s Director of Marketing, I conduct all of our mid- and post-project client interviews. The same theme comes up again and again from people who went through this process for the first time: they had no idea what to look for, and no one made it easy to figure […]
We recently released our first beta build to our client’s QA. Their Software Development Product Manager knows her failure cases inside out and quickly compiled eight tricky bugs. We wondered how the Agent would handle them. Gotta start somewhere We took her bugs as a list of platforms and what she found. We wrote (I […]
There’s a wave of writing right now about “harness engineering” — the idea that the infrastructure wrapped around an AI agent matters more than the model underneath it. The data is hard to argue with. Vercel deleted 80% of their agent’s tools and watched accuracy jump from 80% to 100%. OpenAI published a dedicated post […]
I kept having the same argument with Claude. Not a dramatic one. More like the low-grade friction of a coworker who keeps formatting the PR description wrong no matter how many times you fix it. The AI would reach for the wrong abstraction. I’d correct it. Next session, same mistake. I’d correct it again. And […]
One of our teams at SEP has gone all-in on agentic development. I don’t mean they’re simply using AI tools heavily; I mean they’re deliberately redesigning their team processes, shared infrastructure, and ways of working around it. When I was talking to the team about their experiences, one thing kept jumping out at me: AI […]
You’re probably treating your AI agent like a junior developer. I know I was. It makes sense, right? The framing shows up in genuinely respected places — OpenAI’s own prompt engineering documentation advises treating GPT models like “a junior coworker” who needs explicit instructions to produce good output; engineering teams at major consultancies have characterized […]
If you’ve spent time with agentic development, you’ve probably felt that particular flavor of mental exhaustion that hits harder than the work seems to justify. I wasn’t stuck on a hard problem. I wasn’t debugging something gnarly. I was just… keeping up. And then suddenly I wasn’t. Steve Yegge calls this the AI Vampire: the […]
Every software consultant has experienced this moment: A client arrives with a detailed feature list, meticulously crafted and approved through multiple layers of their organization. They’ve secured funding, aligned stakeholders, and are ready to build. There’s just one problem—that list is going to change. Significantly. I recently managed a project that perfectly illustrated this reality. […]
AI tools for coding aren’t a nice-to-have anymore — they’re table stakes. At SEP, we recognized that early and gave engineering teams the green light to start using them, provided the tools met our security standards and our clients’. Once the green light was given, engineers across the organization were free to use AI in their work. The only stipulation: each […]
Why starting with understanding, not code, is the key to unlocking AI’s full potential in software development Picture this: You’re 7 hours into your work day, you’re on your third cup of coffee, and the AI just generated 200 lines of code that compile perfectly… and do absolutely nothing you wanted. Sound familiar? If you’ve […]
A developer’s perspective on mastering AI coding tools for competitive advantage The software development landscape has undergone more transformation in the past year than in the previous decade combined. As AI coding tools evolve from novelty to necessity, development teams face a critical decision: invest heavily in learning these tools now, or watch competitors pull […]