Which is better for your engineering team, Copilot vs Cody?
Choosing the right AI coding assistant isn’t about features — it’s about results. Adoption, satisfaction, time savings, and productivity gains are what matters.
A short data-driven A/B test is the only way to objectively evaluate the ROI of Cody vs Copilot.
Cody vs Copilot: The right decision can unlock 40% higher ROI
Compare GitHub Copilot vs Sourcegraph's Cody head-to-head to identify the most effective tool, best-suited to your code and favored by your developers. Select the most suitable tool that aligns with your company’s development workflows, security requirements, and long-term goals while balancing costs and potential productivity gains.
Frequently asked questions about comparing
Ensure the A and B groups are similar in makeup and remain representative of your typical teams. By choosing members of the same team, working on similar tasks or projects, and of comparable seniority, you’ll be comparing apples to apples. Also, be sure to control for differences between teams (i.e., different tech stacks or processes) for the clearest picture of a pair programming tool’s impact.
Three elements should be assessed in your evaluation:
- Adoption and Usage: Understand how well each tool is being adopted, how often it's being used, whether there's an adequate number and type of licenses, and if sufficient training and developer enablement have been provided.
- Coding Impact: Determine where and when each tool provides the most value, how it affects developer satisfaction, and how developer productivity changes for those using each tool.
- Downstream Impact: Assess whether individual developer time savings and satisfaction translate into faster overall delivery. Monitor the impact on the quality, reliability, and security of your codebase.
The key to increasing adoption lies in demonstrating ROI. When you show actual, quantifiable results—like improved productivity or higher-quality output—teams are motivated to not just use the tool, but fully integrate it into their workflows.
Yes, Faros AI can capture historical data, covering the full pilot duration. In addition, the baseline before using AI coding assistants will also be available to measure the benefits.
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