# peltier.io > Spot cooling for hot paths. A profile-guided optimization agent that > only ships wins it can prove. peltier.io profiles real binaries and services, isolates hot paths, proposes optimizations, and accepts a change **only** when two independent bars are cleared: **behavioral equivalence** (upstream tests + byte-identical golden replay + differential fuzzing + sanitizers) and **statistical significance** (the speedup's bootstrap 95% CI lower bound clears a threshold on calibrated hardware). A change without both is discarded and logged. Consultants sell surveys; compilers sell flags. Peltier sells **verified deltas with the methodology attached** โ€” a stopwatch on pinned hardware, a proof of equivalence, and an ROI figure whose confidence interval survives hostile review. ๐Ÿ“– **Full documentation: the [peltier.io book](https://bdbrown4.github.io/peltier.io/)** ยท Design spec: [SPEC.md](SPEC.md) ยท Charter: [CLAUDE.md](CLAUDE.md) ## Verified results Every number carries its 95% CI and its workload, and every one survived the gates above. Across **five phases and 34 ledger rows, zero shipped false accepts** โ€” including two pipeline over-accepts the audit caught before anything shipped, each becoming a permanent new gate. | Target | Win | Verified | |---|---|---| | tokei (Rust) โ€” LTO (class 1) | +10.4% | CI [+8.5%, +12.0%] | | tokei โ€” three class-5 algorithmic wins | +10.7% / +3.7% / +9.9% | each CI-significant | | cJSON (C) โ€” number-handling rewrite (class 5) | +8.85% | CI [+7.5%, +10.0%] | | cJSON HTTP service โ€” p50 latency under replay | +6.2% | CI [+5.8%, +7.2%] | | comrak (Rust) โ€” mimalloc (class 2) | +4.6% | CI [+3.3%, +5.8%], [human-ruled](results/rulings/phase0-comrak-002.md) | ## Layout ``` crates/ Trust layer โ€” agent has NO write access (SPEC ยง10) bench-runner/ Interleaved A/B, bootstrap CIs, A/A calibration, service mode diff-test/ Equivalence gates, corpus hash-pinning, per-target spec ledger/ Append-only SQLite attempt ledger (mutation-refusing triggers) report/ ROI: speedup CI โ†’ cores โ†’ dollars, methodology inline verdict/ The pipeline in one command: gates โ†’ bench โ†’ ledger row harnessd/ The one door the agent talks through (7 JSON ops) agent/ Untrusted proposer (Claude Agent SDK, Python) playbook/ Optimization classes 1โ€“7, tried strictly cheapest-first config/ accept.toml (thresholds), pricing.toml (ROI inputs) targets/ Vendored OSS targets โ€” the only agent-writable path corpora/ Hash-pinned golden-replay inputs (read-only to agent) results/ Calibration evidence, case studies, generated ROI reports docs/ The mdBook site (deployed to GitHub Pages) ``` ## Quick start ```sh just build / test / lint # trust-layer workspace just aa # A/A self-test โ€” must yield a null verdict just gates # corpus pin + upstream tests + golden replay # (fuzz needs a baseline โ€” it runs in `just verdict`) just verdict ... # gates + fuzz + sanitizers + bench vs pristine baseline just report # ROI report from a ledger row just isolation-check # 19 OS-boundary checks (both modes) ``` The pipeline is **Linux/POSIX-only** at runtime (Unix sockets, `setsid`, sh-based gates). Windows builds the workspace and runs the portable unit tests, but cannot run the pipeline. Full command reference and reproduction steps: [Reproduce it yourself](https://bdbrown4.github.io/peltier.io/reproduce.html). ## Use it on your own code โ€” from any agent harness The trust layer is not specific to these targets โ€” it will judge any two shell commands. It ships as an **[Agent Skill](https://agentskills.io)** (the open SKILL.md standard), which Claude Code, OpenAI Codex, GitHub Copilot, VS Code, Cursor, Gemini CLI, opencode, Goose, Amp, Zed, and ZeroClaw all load natively. One installer stamps it into your repo at both discovery paths: ```sh # from your repo, with a peltier checkout at /path/to/peltier.io sh /path/to/peltier.io/scripts/install-skill.sh . export PELTIER_HOME=/path/to/peltier.io # the skill drives bench-runner from here ``` That writes `.claude/skills/peltier/` (Claude Code; also read by Copilot, VS Code, opencode, Amp) and `.agents/skills/peltier/` (the cross-tool path: Codex, Zed, Cursor, Gemini CLI, Goose, and others). This repo carries both, CI-enforced byte-identical, so the two copies cannot drift. **ZeroClaw** blocks script files inside skills by default, so it gets a script-less variant (preflight runs from your peltier checkout instead โ€” same one copy of the script): ```sh sh /path/to/peltier.io/scripts/install-skill.sh --zeroclaw-variant /tmp/peltier-skill zeroclaw skills install /tmp/peltier-skill ``` Then ask your agent to verify a speedup. The skill enforces the order that makes a performance claim mean something: **equivalence before timing** (a faster program that computes something different is a bug, not an optimization) โ†’ **A/A calibration** (a host that "finds" a speedup between a binary and itself cannot measure yours) โ†’ **interleaved A/B with a bootstrap CI** โ†’ a verdict decided by the CI *lower bound*, never the median. It drives the real `bench-runner` binary and **refuses rather than degrade**: on an unsupported host, or with no trust layer reachable, it stops and says so instead of falling back to a hand-rolled timing loop. A second copy of the statistics is a second thing that can lie. ## How it stays honest - The agent speaks to the trust layer through **seven read-only-plus-one- write JSON operations**; it has no shell, cannot write outside a target workspace, and cannot touch the ledger or thresholds. - The **baseline is rebuilt from a pristine checkout** every session โ€” a patch never becomes its own comparison. - The **ledger is append-only** (SQLite triggers refuse UPDATE/DELETE); accepted rows are written only by the `verdict` binary after the gates. - The agent process runs under **OS-level isolation** (read-only mount namespace or an unprivileged uid) โ€” the boundary is filesystem permissions, not a prompt. See [the case studies](https://bdbrown4.github.io/peltier.io/case-studies/overview.html) โ€” especially [the caught false-accept](https://bdbrown4.github.io/peltier.io/case-studies/comrak-false-accept.html), where the pipeline over-accepted a leaking patch and the audit overturned it before it shipped. ## License GPL-3.0-or-later โ€” see [LICENSE](LICENSE).