Cover image

Think Longer, Act Smarter: Why Coding Agents Need Behavior-Preserving Reasoning

Software agents fail in a familiar way. They do not always fail because they are stupid. Sometimes they fail because they are busy. They search too widely, inspect too much, edit too early, revise the wrong file, run out of context, and then collapse under the weight of their own half-formed investigation. In enterprise language: they generate activity before they stabilize a diagnosis. We have seen humans do this too, usually in Slack threads with too many tabs open. The machines are catching up nicely. ...

June 1, 2026 · 17 min · Zelina
Cover image

Game On, Agents: When Multimodality Meets the Godot Engine

A game engine is a wonderfully unfair place to test an AI agent. That is exactly why it is useful. In ordinary software tasks, a coding agent can often survive by reading files, editing functions, running tests, and pretending the world is mostly text. A game engine is less polite. It asks the agent to understand spritesheets, scene hierarchies, collision shapes, animation states, shaders, camera views, object nodes, and temporal behavior. The code matters, but the code is only one layer of the object. The game itself lives somewhere between text, geometry, assets, and motion. ...

February 13, 2026 · 19 min · Zelina