Aidealy

Aidealy is a B2B platform that measures R&D productivity in the AI era, from the work engineering teams ship. It is built for engineering leaders, such as CTOs and VPs of Engineering and R&D, and covers both engineers and AI agents. Aidealy builds its engineering metrics from real activity in Git and in AI-assisted coding, not from tickets. An editor session is linked through Git to the branch it touched, its commits and the pull request it became. Leaders ask questions in plain English and get answers for one engineer, one team or the whole R&D organization. Main capabilities: Aidealy Productivity Rank: one score for each engineer, built from four signals over time windows: code they author and merge to production, weighed by quality; code they review; breadth across languages and repositories; and how they use AI in the editor. AI-written versus human-written code: compares their code quality, and whether AI-assisted code holds up in production or needs more rework after merge. AI agents as contributors: AI agents that open, review or merge pull requests are measured alongside engineers by their Git identity. Code longevity and bugs: how long merged code lasts in production, and a way to trace a bug back to the pull request, author and reviewer behind it. Code review: credits review comments and how a review moved code quality, and shows where pull requests wait for review. What engineers use AI for, and how: every AI-assisted session is classified by area, by purpose and by the concerns it raised. Aidealy connects to GitHub, GitLab, Bitbucket and Azure DevOps for Git, and to Cursor and Claude Code for AI-assisted coding. It analyzes one year of Git history by default, or up to three. Aidealy keeps no copy of a customer's source code. Each customer's data never mixes with another's: it has its own stores, its own encryption key and its own LLM API keys. Customers choose EU or US data residency.