I Wired an LLM to a Fly's Brain
AI agents usually inherit interfaces whose meanings have already been decided. I wanted to know what happens when the actions exist before the abstractions.

Software as a medium, industry, economic object, and way of organizing work.
13 entries
AI agents usually inherit interfaces whose meanings have already been decided. I wanted to know what happens when the actions exist before the abstractions.

Enterprise security has spent decades protecting credentials. Agentic AI shifts the problem from secrets at rest to authority in motion, forcing us to rethink identity, delegation, and execution in autonomous systems.

As AI makes execution cheaper, direction matters more: what to build, whom to serve, and whether the problem is worth solving.

In tech, first is rarely best. The winners are the ones who wait for the fog to clear, then move decisively when the category is legible.

AI can make young engineers faster without making them better.
Companies can fall into an AI loop of modernization and cost savings. Breaking it requires wanting more: resilience, intelligence, and speed.

Cheaper code and faster delivery do not guarantee a useful product. Conviction grounded in customer understanding gives the work direction.
AI did not erase research’s value; it removed the scapegoat. Gartner’s deeper challenge is a generation of builders acting on conviction, accepting failure, and refusing to outsource accountability.
Speed is cheap now. Differentiation is not. The winning teams are the ones who know what to build, not just how fast to ship.

Low-code can accelerate prototypes; it cannot repeal complexity. Real enterprise software still needs engineers who understand consequences.

The future of work may favor AI, resilience, and creativity, but those skills depend on the basics: reading, writing, mathematics, reasoning, and the ability to teach others.

Seeking software development engineers at all levels with Next.js, full-stack, and user experience skills, along with backend and machine learning engineers experienced in Python.
Internet-scale systems are not just bigger apps. They are different organisms: distributed, failure-tolerant, and built for change.
