# Flexcompute Engineering

> Essays, tutorials, and case studies on AI engineering, computational physics, photonics, and simulation from Flexcompute.

This site publishes essays, tutorials, and case studies from Flexcompute engineering.
Use the canonical article URLs for citation and the Markdown mirrors for lightweight machine ingestion.

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## Articles
- Title: Designing a Photonic Chip Component with ~45 Lines of Python
  Canonical URL: https://engineering.flexcompute.com/articles/photonic-inverse-design-45-lines/
  Markdown URL: https://engineering.flexcompute.com/articles/photonic-inverse-design-45-lines.md
  Published: 2026-03-05
  Updated: 2026-03-05
  Kind: Tutorial
  Authors: Tyler Hughes
  Topics: Photonics, Inverse Design, Optimization, Tidy3D
  Summary: A compact introduction to photonic inverse design with Tidy3D, using a pre-built simulation and a ~45-line optimization loop.

- Title: "What Should We Work On Next?"
  Canonical URL: https://engineering.flexcompute.com/articles/what-should-we-work-on-next/
  Markdown URL: https://engineering.flexcompute.com/articles/what-should-we-work-on-next.md
  Published: 2026-02-26
  Updated: 2026-02-26
  Kind: Case Study
  Series: AI Engineering
  Authors: Yannick Augenstein, Frederik Schubert
  Topics: AI Engineering, Autodiff, Verification
  Summary: The story of building an 80,000-line autodiff library almost entirely through AI agents — and the verification infrastructure that made it possible.

- Title: The Agent Control Loop — Engineering for Tolerance
  Canonical URL: https://engineering.flexcompute.com/articles/agent-control-loop/
  Markdown URL: https://engineering.flexcompute.com/articles/agent-control-loop.md
  Published: 2026-01-19
  Updated: 2026-01-19
  Kind: Essay
  Series: AI Engineering
  Authors: Frederik Schubert, Yannick Augenstein
  Topics: AI Engineering, AI Agents, Verification
  Summary: 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.