Technical Overview
Dogfood Bench is an analysis platform designed to quantitatively evaluate software engineering productivity driven by artificial intelligence. It analyzes key metrics such as fix rates, median time to issue closure, and open backlog status directly from public repositories via the GitHub API. It is tailored for engineering teams and technical analysts seeking empirical metrics on the actual impact of coding assistants, operating as a transparent static web dashboard.
Analyst Evaluation: Pros and Limitations
Verified Advantages
- Metrics based on real data extracted directly from the GitHub API.
- Clear visualization of temporal trends and issue resolution rates.
- Fully open and free access without requiring registration or configuration.
Technical Considerations
- Limited scope to specific repositories analyzed by the project.
- Complete dependency on the quality and consistency of metadata within GitHub issues.
Technical Capabilities & Features
2/7ScorecardShow detailsHide details
Technical Scorecard: Dogfood Bench
Time to Value & Fit by Segment: Dogfood Bench
Near-instantaneous deployment with minimal technical friction.
Rapid onboarding for developers without prior training required.
Fit Index by Organization Size
Pricing & TCOShow detailsHide details
Pricing
Model: FREE.
Free Tier Verification:
- No credit card required
- Commercial use allowed
- Unlimited usage with no expiration
- No mandatory watermarks
Billing Risks & Hidden Clauses: Dogfood Bench
Acceso libre y gratuito a todo el contenido público del benchmark sin restricciones.
Total Cost of Ownership (TCO) Projection: Dogfood Bench$0.00/moDeterministic cost estimation at 12 and 36 months based on team size, including SSO tax premiums and annual prepay discounts.Show detailsHide details
Usage Surcharges & Bill Shock Simulator: Dogfood BenchWhat usage costs as you scaleDetect overage penalties before they impact engineering budget.Show detailsHide details
Security & Data ExitShow detailsHide details
Compliance & Security Standards: Dogfood Bench
Data Liberation & Migration Runbook: Dogfood BenchJSON · CSVActionable escape runbook and credential export guarantees to mitigate vendor lock-in.Show detailsHide details
Deployment & Infrastructure Requirements: Dogfood BenchDockerHardware specs and Docker directives to run on local servers, dedicated VPS, or Kubernetes without telemetry leak to the cloud.Show detailsHide details
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Technical Reputation of Dogfood Bench
Frequent Praises in Production
- Metrics based on real data extracted directly from the GitHub API.
- Clear visualization of temporal trends and issue resolution rates.
- Fully open and free access without requiring registration or configuration.
Reported Production Frictions
- Limited scope to specific repositories analyzed by the project.
- Complete dependency on the quality and consistency of metadata within GitHub issues.
Open source repository activity: Dogfood Bench155,368Stars, forks and release cadenceShow detailsHide details
Frequently Asked Technical Questions (Dogfood Bench)
How does Dogfood Bench calculate resolution metrics?
An automated script periodically queries the GitHub API to extract open dates, close dates, and closure reasons for each issue in the monitored repository.
What does the weekly resolution rate represent?
The resolution rate is calculated by dividing the total number of issues closed as fixed by the number of issues opened during that same week.
Can custom private repositories be analyzed?
Currently, the platform is designed to display public analytics focused on AI coding assistant adoption, without native support for self-managed private repositories.