Tagged articles

Effect-TS

3 articles · Page 1 of 1

Aug 2, 2026 · Artificial Intelligence

When Coding Loops Run Amok: Applying Control Theory to AI‑Assisted Programming

The article critiques uncontrolled AI coding loops that generate massive, unreviewable PRs and proposes a control‑theoretic framework—sensor, controller, actuator, and feedback—to make AI‑driven code changes incremental, safe, and auditable, illustrated with a real Effect‑TS migration case.

AI codingCI/CDEffect-TS

0 likes · 13 min read

When Coding Loops Run Amok: Applying Control Theory to AI‑Assisted Programming

DataFunSummit

Jul 19, 2026 · Artificial Intelligence

How to End the AI Coding Loop: Using Control Theory for Safe Incremental Changes

The article critiques the uncontrolled “blind rail” AI coding loops that generate massive PRs, explains why control theory‑based feedback loops are essential, and details a concrete Effect‑TS migration case that demonstrates a repeatable, low‑risk engineering pattern for AI‑assisted code evolution.

AI codingAgent AutomationEffect-TS

0 likes · 13 min read

How to End the AI Coding Loop: Using Control Theory for Safe Incremental Changes

DataFunTalk

Jul 11, 2026 · Artificial Intelligence

Ending the AI Coding Loop: Applying Control Theory for Safe Incremental Automation

The article critiques blind AI coding loops that generate massive, unreviewed PRs and proposes a control‑theory‑based framework—using sensors, controllers, and actuators—to make AI‑assisted code changes incremental, measurable, and safely integrated into real‑world engineering workflows.

AI codingEffect-TSagent loops

0 likes · 13 min read

Ending the AI Coding Loop: Applying Control Theory for Safe Incremental Automation