The AI Productivity Paradox

Measuring What Really Matters in Software Development

AI coding assistants are reshaping how software gets built — but the true impact isn’t always positive.

While 81% of developers now use AI and feel more productive, new research reveals growing instability, duplicate code, and shrinking delivery cycles.

Engineering leaders face a new challenge: how to harness AI’s potential without sacrificing quality, maintainability, or team velocity.

What You’ll Learn

  • How to measure AI’s impact beyond surface-level productivity metrics
  • Why bad developer experience signals hidden risks in your workflow
  • Practical strategies to reduce technical debt in AI-assisted teams
  • A roadmap for sustainable AI adoption that balances speed and stability

Download the eBook to uncover the real cost of AI-driven development — and how to lead your team toward smarter, more sustainable innovation.

Read the guide

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Team Collaboration Services

Secure cloud-backed services that span across all products in the DevEx platform to keep your workflows connected across projects, repos, and team members
Launchpad – All your PRs, issues, & tasks in one spot to kick off a focused, unblocked day. Code Suggest – Real code suggestions anywhere in your project, as simple as in Google Docs. Cloud Patches – Speed up PR reviews by enabling early collaboration on work-in-progress. Workspaces – Group & sync repos to simplify multi-repo actions, & get new devs coding faster. DORA Insights – Data-driven code insights to track & improve development velocity. Security & Admin – Easily set up SSO, manage access, & streamline IdP integrations.
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