Pragmatic AI Software approaches

Hitting agentic coding blockers?Let's talk about it!

Ready to register for the AI Coffee Time webinar?

Coffee mug with text: Great Software is built by Great Teams

AI Coffee time with test double

AI harnesses: Let's discuss

April 22, 2026
2-3 pm ET/11 am-Noon PT

Senior software developers will share their own AI approaches and workflows. They’ll also discuss why constraints are so important for better agentic coding outcomes. It's the taste, judgment, and constraints you encode into the system that shapes what AI produces.

Featuring River Lynn Bailey, A.J. Hekman, Dave Mosher, Rick Reilly, and Jed Schneider.

Can't attend at this time? Register anyway, and we'll send you the recording.

Pragmatic AI Software Consultancy

AI should be actionable

We take a pragmatic approach to AI that's focused on balancing quality and efficiency. AI software development should:

Align to clear strategy
Focus on solving problems
Move the business forward
Provide positive ROI

Pragmatic AI Insights

See all insights

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Developers

Horizontal Progression for Software

More capable AI doesn't automatically make better software. A longtime WoW player explores what horizontal progression could teach us about building products people love.

Dave Mosher

A glowing stream of light builds up inside a wide glass pipeline before squeezing through a narrow, green-lit bottleneck into a smaller pipe.

Developers

AI tooling may have solved coding, but not solutions delivery

AI made writing code faster, and software delivery didn't speed up to match. The Theory of Constraints predicted exactly this outcome forty years ago, and it also tells you what to do about it: measure your own end-to-end flow before you name the constraint or buy the tooling.

River Lynn Bailey

A woman relaxes in an office chair with her feet up, looking out a sunlit window while a small robot works at a laptop beside her and a golden retriever sleeps nearby.

Developers

Defend your downtime to improve agentic output

With agentic tools writing code, it feels natural to fill the waiting time by reaching for the next task. Before you do, though, have you considered what you might be losing by trying to parallelize more work? River Bailey digs into the question to understand why we should protect that downtime instead of filling it with more activity.

River Lynn Bailey