Topic Archive
AI Agents
Patterns, tooling, and lessons for delegating real work to software agents.
Showing 6 articles tagged AI Agents.
What Flow360 Can Draw: A CFD Picture Book
Thirty-eight views of air flowing past the Stanford bunny, from low speed to Mach 2, each with what it shows and the Flow360 recipe that made it.
Using decision models to speed up design rule violation repair in chip design
AI agents can fix design rule violations on chips, but the process is slow. We used a decision model to choose fixes for design rule check (DRC) violations on a digital and a photonic benchmark, and kept nearly all the quality of a large language model at under half its cost.
We built a layout viewer for AI agents. Then an agent scaled it to 38 million shapes.
How a goal-driven loop turned PhotonForge's browser LiveViewer from a half-million-shape viewer into a 38-million-shape, 60 FPS tool for humans and agents.
Learning Auto-Routing by Building: From Brute Force to an Auto-Design Agent
How I learned auto-routing for photonic chips — a failed brute-force attempt, AI as a learning partner, interactive HTML arenas, a PhotonForge router, and an agent that iterates 27 designs in under three minutes.
Can AI Agents Autonomously Design Components on Photonic Chips?
We gave AI agents a photonic simulator, a DRC engine, and four design challenges. They autonomously designed waveguide bends, crossings, splitters, and demultiplexers — some reaching near-perfect performance.
The Agent Control Loop — Engineering for Tolerance
Why agent reliability isn't magic model behavior — it's an environment where correctness is continuously verified. A framework for deciding when and how to delegate to AI agents.