Status basis: npm_downloads_7d momentum fell to 0 per 3d from 12 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 12 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 5 in the last 3d vs 1 in the 3d before (ratio 5.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 12 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 6 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 6 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 13 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 13 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -8 per 3d from 13 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 13 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 13 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 13 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 2 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It repurposes standard testing practices to create a practical, quantifiable benchmark for AI agent quality, making trust in AI code more objective.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Rudder uses the repository's own test and coverage tools”— readme
“Rudder installs hooks in your coding agents to record the repository and branch”— readme
“Rudder is a local plugin for Claude Code and Codex”— readme
“Rudder is a local plugin for Claude Code and Codex that generates tests directly from your prompts.”— readme
FAQ
What is I Repurposed Unit Tests to Show How Much Coding Agents "Improvise"?
A method that uses unit test pass rates to measure how much AI coding agents deviate from expected behavior during code generation.
What does I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" do?
To assess the reliability of AI-generated code by measuring how often it passes real-world unit tests, indicating how much it 'improvises' beyond safe boundaries.
Why does I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" matter?
It repurposes standard testing practices to create a practical, quantifiable benchmark for AI agent quality, making trust in AI code more objective.
How much does I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" cost?
Free
Is I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" free?
Yes — I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" has a free tier. Pricing as stated on its own page: Free
Is I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" open source?
Yes — I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" is open source.
Can I self-host I Repurposed Unit Tests to Show How Much Coding Agents "Improvise"?
Yes — I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" can be self-hosted.
How popular is I Repurposed Unit Tests to Show How Much Coding Agents "Improvise"?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-08-04).
What are the best I Repurposed Unit Tests to Show How Much Coding Agents "Improvise" alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.