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Deveval

Deveval
Launch Date: July 3, 2026
Pricing: No Info
engineering management, software metrics, team performance, AI productivity, developer analytics

Deveval: Measuring Engineering Impact in the AI Era

Introduction

Deveval is a platform designed to help engineering teams measure their real impact in an age where AI tools are changing how code is written. Many organizations struggle to tell the difference between teams that are just busy writing code and teams that are actually delivering valuable products. Deveval solves this by analyzing real data from GitHub to provide a clear picture of performance. It moves beyond simple activity counts to show exactly where a team stands compared to industry standards.

Benefits

Deveval offers several key advantages for engineering leaders and founders. First, it provides a single score called the Developer Impact Index. This score combines code quality, delivery speed, efficiency, and team collaboration into one easy-to-understand number. Second, it separates tool usage from actual results. It helps leaders see if their AI investments are creating real output or just generating lots of code that never gets shipped. Third, it offers industry benchmarking. Teams can compare their performance against other similar-sized organizations to see if they are leading or lagging behind. Finally, it requires no extra meetings or surveys. The analysis happens automatically using existing GitHub data, making it fast and easy to use.

Use Cases

Deveval is useful for a variety of situations within a company. Product managers can use it to understand if their engineering team is delivering features on time. Executives can use the data to answer board questions about whether AI tools are providing a return on investment. Hiring managers can identify high-performing engineers who ship useful work versus those who generate activity without results. Outsourcing managers can also use the platform to evaluate the actual output of external development teams. For example, one user used Deveval to assess an outsourced team and negotiated a 30% discount on renewal fees based on the data. The platform is also great for spotting bottlenecks in the development workflow, such as when many people are writing code but very little is being merged into the main product.

Pricing

Deveval offers a flexible pricing model with a free option for testing. The free tier costs nothing forever and includes one team workspace, one GitHub repository, and analysis for up to five members. It also allows for a one-time evaluation over a 30-day period. For growing teams, there is a Starter plan priced at $3.50 per developer per month when billed yearly. This plan supports up to three workspaces, ten repositories, and evaluations for up to 100 seats. Larger organizations can choose the Team plan for $5.60 per developer per month billed yearly. This option includes up to ten workspaces, twenty-five repositories, weekly automated evaluations, and the ability to compare performance across different teams.

Vibes

Early users of Deveval have shared positive feedback about its ability to bring clarity to engineering management. One user noted that they used to track the number of pull requests but realized that two people were doing most of the work while others generated AI code that never shipped. Another user mentioned that their board kept asking if AI was actually helping, and Deveval finally provided a report that answered that question directly. The platform has been tested with over 38 teams and more than 122 engineers so far. Users appreciate that the reports are ready for board meetings by default and include clear status indicators like green, yellow, or red flags.

Additional Information

Deveval has already analyzed data from over 38 teams and 122 engineers to build its benchmark database. The current industry average Developer Impact Index is 72.4, with the top 25% of teams scoring around 82. The platform focuses on four main dimensions: code quality, delivery capability, engineering efficiency, and contribution breadth. It does not rely on self-reports or surveys, which removes bias from the data. The entire analysis process takes about five minutes once a user connects their GitHub account. All payments are processed securely through Stripe, and users can cancel their subscription at any time.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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