Create AI managers to manage AI coding agents. Will it work?

Advanced Version Control with Git (Rebasing, Branch History, and Force-Pushing)

The user is comfortable with the concept of commits and pull requests but struggles with more advanced Git operations needed to maintain a clean history, especially when collaborating or updating a long-lived feature branch. Concepts like rebasing, resolving merge conflicts, and the effects of a force-push are unfamiliar, leading to confusion and requests for the agent to use a simpler, albeit less ideal, strategy.

Continuous Integration (CI) Pipeline Dynamics and Test Automation

The non-coder understands that the "CI test" is a gate that must be passed, but they lack a deep understanding of the complex, multi-stage process involved. They repeatedly see a failure and ask for a fix, but the root cause is often a nuanced interaction between different types of tests (unit vs. component), caching, and environment-specific commands within the CI workflow file. The agent must investigate why tests that pass locally fail in the CI environment, a distinction the user struggles to diagnose themselves.

Quick fire - 1

Learn from real conversation when coding with AI.

Create AI managers to manage AI coding agents. Will it work?

Wonder if you have ever thought of creating ai managers to help you answer the questions and problems from ai coding managers? I tried and it works, most of the time, not always.

The Non-Coders Guide to AI App Architecture

If you find yourself drifting away during hearing this episode, that is expected; if you feel dizzy during hearing this episode, that is expected too. If you bear to hear this episode a couple more times, you'll probably start to understand your coding ai agents better. ;-]