Observed arrival · 2026-10-06

Optlens explains what changed in an optimization model

optlens.dev Visit website

Editorial interest 78/100 Selection signal · not a rating of the site

An open-source tool for diagnosing infeasible LP/MILP models, identifying a small fix, and explaining the cost of a change.

Landing page captured for the 2026-10-06 issue.

For: People debugging LP and MILP optimization models
Worth noticing: The benchmark includes models up to 837,000 constraints and an ad-allocation example where a plain diff reports 755 changed variables versus 9.

Field notes

The listed setup paths include a pip command using the GitHub repository, a Claude Code plugin command, and a Codex MCP command. The benchmark description says both Claude comparisons receive the same model context and that cases have solver-verified answer keys; the reported cost and time improvements are project claims, not independently verified here.

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●ProPolished or operationally mature

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