Debugging AI, one cup at a time

Coffee With Humans

Practical AI lessons for software engineers, freshly brewed from the good stuff and served without the fluff.

Fresh from the desk

Warm editorial workbench showing code diffs, trace notes, tests, and a user correction feeding into a consolidation machine that outputs memory, test, and skill cards while noisy transcript scraps are discarded.

Agent Workflows

How To Make An Agent Learn From One Session

A practical guide to turning one completed agent session into scoped memory, tests, hooks, skills, or evals without pretending the model trained itself.

Warm illustrated engineering workbench where a tangled red failure trace flows through inspection tools, lab notes, and test cards, then returns as a clean green evaluation loop beside a secondary score gauge.

Evals

Evals Are Improvement Loops, Not Scoreboards

Learn how to turn traces, failures, datasets, and experiments into a practical eval loop for improving AI applications and agents.

Warm desk scene showing a Windows desktop application with UI Automation handles, evidence panels, and test verdict overlays for background UAT automation.

AI Agents

Headless UAT Agents Need Handles, Not Screenshots

AI agents can help automate UAT for Windows desktop apps in the background, but they need isolated workers, UI Automation handles, deterministic checks, and reviewable evidence.

A calmer way to learn AI engineering

Pull up a chair. The coffee is warm.

Coffee With Humans turns high-signal sources into clear, practical lessons for software engineers who want to become more capable with AI.