Aidealy
Aidealy measures the real productivity of your whole R&D workforce - engineers and AI agents - from the code they actually ship. Built for CTOs and VPs of Engineering.
A startup from Israel, founded by Oren Keinan.
Aidealy measures the real productivity of your whole R&D workforce - engineers and AI agents - from the code they actually ship. Built for CTOs and VPs of Engineering.
A startup from Israel, founded by Oren Keinan.
This page is designed to help you find out whether Aidealy is good and if it is the right choice for you.
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.
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Productivity Rank
One score for each engineer, built from the code they ship weighed by quality, the code they review, their breadth across languages and repositories, and how they use AI in the editor.
AI-written vs human-written code
Compares the quality of AI-written and human-written code, 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
Shows how long merged code lasts in production, and traces a bug back to the pull request, author and reviewer behind it.
Code review insights
Credits review comments and how a review moved code quality, and shows where pull requests wait for review.
Questions in plain English
Leaders ask questions and get answers for one engineer, one team or the whole R&D organization.
Integrations
GitHub, GitLab, Bitbucket and Azure DevOps for Git; Cursor and Claude Code for AI-assisted coding.
Security on every plan
Single sign-on, EU or US data residency, a separate encryption key for each customer, and no copy of source code kept.
Aidealy was founded by Oren Keinan, who led engineering teams for more than 20 years, most of that time as a VP of R&D and a CTO. As AI began writing a growing share of the code, he saw that leaders still had no real way to know whether their teams, and their AI, were working well. Measuring R&D from tickets had stopped making sense; measuring it from the code that actually ships was what still did. Aidealy was built to close that gap.
Aidealy measures engineering work from the code that actually ships, not from tickets. It links each AI-assisted editor session through Git to the branch, commits and pull request it became, so leaders can compare AI-written and human-written code and see whether AI-assisted code holds up in production. AI agents that open, review or merge pull requests are measured alongside engineers. And instead of reading dashboards, leaders ask questions in plain English.
Choose Aidealy if your teams write a growing share of their code with AI and you want to know whether it is helping. Aidealy measures engineers and AI agents together, from real Git and AI-assisted coding activity, and answers your questions in plain English for one engineer, one team or the whole R&D organization. Pricing is public and per seat: one plan with every capability included, and single sign-on and EU or US data residency come with every account.
CTOs, VPs of Engineering, R&D directors and engineering managers at software companies with about 10 to 1,000+ engineers, where leaders can no longer see at a glance how R&D is doing.
We have collected here some useful links to help you find out if Aidealy is good.
Check the traffic stats of Aidealy on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Aidealy on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Aidealy's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Aidealy on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Aidealy on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is Aidealy good? This is an informative page that will help you find out. Moreover, you can review and discuss Aidealy here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
