Introducing FlameIQ — Deterministic Performance Regression Detection for Python

The Problem Performance regressions are invisible in code review. A careless refactor that recompiles a regex on every function call. A new dependency that adds 40ms to your p95 latency. A database query that wasn't indexed. None of these show up in a diff. They accumulate silently across hundreds of commits — a 3ms latency increase here, a 2% throughput drop there — until they become expensive production incidents. Type checkers enforce correctness automatically. Linters enforce style automatically. Nothing enforces performance — until now. Introducing FlameIQ Today we are releasing FlameIQ v1.0.0 — an open-source, deterministic, CI-native performance regression engine for Python. pip install flameiq-core FlameIQ compares your current benchmark results against a stored baseline and fails your CI pipeline if any metric exceeds its configured threshold — the same way a type checker fails your build on a type error. Quick Start Step 1 — Initialise cd my-project flameiq init Step 2 — Run