How Sipcode compares to the field
Honest, anonymized side-by-side. Methodology below. Names available on request.
| Capability | Sipcode | Tool A | Tool B | Tool C | Tool D |
|---|---|---|---|---|---|
| Reproducible benchmark anyone can verify | ✓ 62.6% on a locked, synthetic 20-task corpus, range 37.4 to 80.6% | — | ~40% (single anecdote, n=1) | 99% theoretical ceiling, not a measured floor | — |
| Mid-session install works without restart, no stale context | ✓ Verified Warm-Fill (v1.6.15) | — | — | — | — |
| Zero false-dedup risk by construction (not just by tests) | ✓ | mtime-only (known false-positive risk) | mtime-only | undocumented | undocumented |
| Drift detection (context-rot signal per session) | ✓ drift v2 with persistent baselines | — | — | — | — |
| Per-rewriter integrity scoring (kept %) | ✓ since v1.6.8 | — | — | — | — |
| Forecast / impact / today spend telemetry | ✓ since v1.6.10 | — | — | — | — |
| Agents covered | Claude Code (all features); OpenAI Codex (spend, usage limits, regressions; no hook) | not compared | not compared | not compared | not compared |
| Network calls during normal use | 0 | varies | varies | varies | varies |
| Pricing | Free, MIT | Free | Free | Free | Free |
Methodology
- Audited via public GitHub repositories and shipped documentation on 2026-06-15.
- The "Agents covered" row was added later and is not compared for the other tools.
- Sipcode is one of the tools audited; you can re-run the audit on Sipcode itself by reading the source.
- Where a capability is binary (does it exist or not), the cell shows ✓ or —.
- Where a capability has a measured value, the cell shows the value and a brief caveat.
- Tools are anonymized as A, B, C, D. We are not in the business of attacking other open-source projects. Anyone curious enough to install all five and run them will arrive at this table independently.