engineering-metrics
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DX Made Developer Productivity Measurable - Then Atlassian Paid $1 Billion
DX built a business around a deceptively hard question: what actually helps software teams do better work? Its answer mixes machine data, human experience and enough research discipline to make a dashboard useful without turning it into a surveillance panel.
Vitaly Gordon
Vitaly Gordon is the co-founder and CEO of Faros AI, an AI-native engineering intelligence platform he started in 2019 with former Salesforce colleagues. Before Faros, he founded Salesforce Einstein and led it as VP of Engineering and Data Science, scaling it from zero to a platform serving billions of predictions per day. Earlier in his career he was a data science lead at LinkedIn and a data science manager at LivePerson. He now builds tooling that helps engineering organizations measure and improve productivity, and navigate the shift to AI-augmented software development.
Code Climate
Code Climate is a New York-based software engineering intelligence company founded in 2011. It began with automated code review and quality analysis, grew into Velocity - an analytics platform that gives engineering leaders visibility into delivery, DORA metrics and team health - and has since repositioned around helping enterprise leaders measure and manage AI-native engineering transformation, pairing a data platform with Forward Deployed Engineers.
Faros AI
Faros AI is an AI-native engineering intelligence platform that pulls data from the tools software teams already use - GitHub, Jira, CI/CD, incident systems and more - and turns it into a single view of how engineering work actually flows. Founded by the ex-Salesforce team that built Einstein, Faros helps engineering leaders measure DORA metrics, track delivery, quantify the ROI of AI coding assistants like GitHub Copilot, and automate R&D cost capitalization across the full software development lifecycle.
Sleuth
Sleuth is a San Francisco software company founded by former Atlassian engineers who helped build Jira and Bitbucket. It began as a 'mission control' platform for continuous delivery, giving engineering teams automated DORA metrics and deployment tracking, then expanded into governing AI inside organizations. Its current product, Sleuth Skills, lets companies define agent skills, rules, prompts and MCP servers once and distribute them - with approval workflows, audit trails and access controls - across AI clients like Claude Code, Cursor, GitHub Copilot, Gemini and Codex. Sleuth has raised roughly $25M, including a $22M Series A led by Felicis in 2022.
Jellyfish
Jellyfish is a Boston-based Engineering Management Platform that turns the signals from engineering tools - Git, Jira, CI/CD, and now AI coding assistants - into business-readable insight. It helps engineering leaders see where their teams spend time, tie that work to company strategy, automate R&D cost capitalization, and measure the real ROI of tools like GitHub Copilot. Founded by veterans of Endeca, Jellyfish has raised roughly $117M and serves hundreds of enterprises including Mastercard, Priceline, and PagerDuty.
Andrew Lau
Andrew Lau is the co-founder and CEO of Jellyfish, the Boston company that pioneered the Engineering Management Platform - software that does for engineering organizations what Salesforce did for sales. An MIT-trained engineer who spent nine years running engineering at search pioneer Endeca, Lau reconnected with two former colleagues a decade later to build a tool that translates the work of software teams into language the business actually understands. Jellyfish has raised roughly $117M, tracks 600-plus engineering organizations, and sits at the center of the industry's loudest debate: how to measure what AI is really doing to software development.