Faros: Engineering Productivity Metrics and Intelligence
Faros helps CTOs and engineering leaders track developer productivity and the ROI of AI tools. It is designed for large software organizations that need to unify data from multiple SDLC tools into a single view.
At a glance
- Category
- Software Development
- Best for
- Enterprise software companies, CTOs and VPs of Engineering, Platform Engineering teams, Technical Program Managers, AI Officers
- Pricing
- Pricing starts at $29 per contributor. There are three tiers: Professional, Enterprise, and Ultimate, with higher tiers adding hybrid connectors, API access, and unlimited connectors.
- Key use cases
- Measuring AI ROI, Improving SDLC Throughput, R&D Cost Reporting, Capacity Forecasting, Developer Experience Mapping
- Official website
- faros.ai
Faros is an engineering intelligence platform designed for enterprise-scale technology organizations. It collects data across the software development lifecycle to provide visibility into how teams build and deliver software, supporting frameworks like DORA and SPACE.
The platform is designed for engineering executives, AI officers, and platform engineering teams who want to identify bottlenecks and track the impact of AI coding assistants on productivity and code quality.
It supports digital workflows by automating R&D cost reporting and providing dashboards on velocity, quality, and developer sentiment. It also includes an AI Assistant for retrieving insights via chat in tools like Slack and Teams.
Buyers should confirm that the tool is targeted at enterprise-level needs and that pricing is based on a per-contributor model.
Key Features
Tracks SDLC metrics and provides visibility into velocity, quality, and delivery throughput.
Measures the adoption and productivity impact of AI coding tools and assistants.
A chat-based interface providing engineering insights within Slack, Microsoft Teams, and IDEs.
Provides built-in dashboards and benchmarks based on industry-standard productivity frameworks.
Uses organizational knowledge from past PRs and tickets to help AI agents produce more accurate code.
Connects to various cloud and on-prem toolchains to unify engineering data into a single schema.
Use Cases
Quantifying how AI coding assistants affect productivity, quality, and developer experience.
Using DORA metrics to identify bottlenecks and help improve lead times and stability.
Automating the reporting of software capitalization and R&D costs.
Using data to forecast roadmap delivery and identify emerging risks to commitments.
Correlating developer survey sentiment with system telemetry to identify friction in the workflow.
Best For
Pricing
Pricing starts at $29 per contributor. There are three tiers: Professional, Enterprise, and Ultimate, with higher tiers adding hybrid connectors, API access, and unlimited connectors.
FAQ
Faros is designed for enterprise technology organizations, specifically for CTOs, VPs of Engineering, AI Officers, and Platform Engineering teams.
It uses precision analytics and causal analysis to measure how AI coding assistants affect productivity, quality, and developer experience.
Faros offers three tiers: Professional (SaaS connectors), Enterprise (hybrid connectors and API access), and Ultimate (unlimited connectors and full schema access).
Source category: Software Development
Source subcategory: Analytics & Reporting
