Normalized output measurement
Normalizes engineering work into a single unit so teams can compare output against expert benchmarks rather than raw line counts.
Weave
Freemium
Weave è una piattaforma di engineering intelligence che misura l’output ingegneristico, il lavoro assistito dall’AI e l’impatto delle code review per i team che sviluppano software. Offre i piani Starter, Pro ed Enterprise, con distribuzione on-premise per le organizzazioni più grandi.
Cos'è Weave?
Weave is an engineering intelligence platform that uses LLMs and domain-specific machine learning to analyze how engineering work gets done. It is designed to help teams measure output, separate AI-assisted work from human contributions, and understand whether AI is improving delivery, code quality, and code review throughput.
The product positions itself around a normalized unit of engineering work, calibrated to expert benchmarks instead of line counts. Across the site, Weave presents itself as a single workspace for engineering measurement, research, operational reporting, and code review intelligence, with enterprise deployment options for larger organizations.
Cosa può fare Weave?
AI contribution analysis
Shows AI vs. human contributions and breaks output down by AI tool, type, and team.
Unified engineering signal graph
Connects signals from code, reviews, AI agents, project management, and communication into one graph of engineering work.
Engineering performance reporting
Quantifies AI impact on engineering velocity, code quality, and review throughput, with adoption rates by team, tool, and workflow.
Operational reporting and review intelligence
Includes code review intelligence and operational reports as part of the platform.
Enterprise security and deployment controls
Offers enterprise deployment options with SSO, SCIM provisioning, access controls, audit logs, and on-premise deployment.
Casi d'uso
“Measure AI-assisted engineering work”
Track how much engineering output comes from AI tools versus human contributors across PRs, reviews, and deploys.
“Monitor engineering productivity”
Compare team output against normalized benchmarks to understand whether engineering throughput is changing over time.
“Evaluate AI impact on delivery quality”
Review whether AI is improving code quality and review throughput, instead of looking only at output volume.
“Create executive engineering reports”
Give leadership and engineering management a shared reporting layer for operational updates and investment decisions.
“Support enterprise security requirements”
Deploy in regulated or security-sensitive environments that need on-premise options, role-based access, and compliance controls.
Domande frequenti
What does Weave measure?
Weave combines LLMs and domain-specific machine learning to understand engineering work and separate AI-assisted contributions from human work across PRs, reviews, and deploys.
What pricing plans does Weave offer?
The pricing page shows Starter, Pro, and Enterprise options. Starter is listed at $0, Pro at $50 per engineer, and Enterprise is custom.
Can Weave be deployed inside our environment?
The enterprise page says Weave can be deployed on-premise within your own infrastructure, with an air-gapped deployment available.
What does the Enterprise plan include?
The source highlights GitHub Enterprise support, SSO, SCIM provisioning, user permissions, and security/compliance features for Enterprise customers.
Informazioni rapide
- Category
- Engineering intelligence
- Platform
- Web-based SaaS
- Primary users
- Engineering teams, including startups, scale-ups, and enterprises
- Pricing
- Starter $0, Pro $50 per engineer, Enterprise custom
- Deployment
- Cloud and on-premise options
- Domain
- workweave.ai
Analisi del traffico di Weave
I dati sul traffico sono solo a scopo di riferimento.
- Domain Rating
- 23
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