AI-First Engineering: How Cisco Reached Tech Debt Zero

Cisco has revolutionized its engineering approach by adopting an "AI-first engineering" strategy, utilizing autonomous agents and SonarQube to efficiently address large-scale technical debt. A pivotal three-month pilot program successfully resolved approximately 27,000 technical debt issues, significantly enhancing productivity by up to three times. Central to this transformation is "Coda," an autonomous agent functioning like a remote employee by independently handling tasks such as patching code and generating pull requests within Cisco's Jira environment. This strategic shift, initiated 18 months ago, involved rebranding core productivity units and establishing internal guilds that engage over 500 engineers monthly, alongside a Webex community of 4,000 members sharing AI advancements. This approach aims to elevate code quality from a basic requirement to an engineering accelerator, allowing highly skilled technical staff to concentrate on architectural design while AI handles syntax-level maintenance. To manage the increased code volume resulting from AI generation, Cisco employs a structured investigate, plan, and implement verification loop, ensuring no new quality issues emerge and maintaining rigorous standards across its extensive developer base.

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