DEVOPSdigest

Opsera announced its AI Code Assistant Insights.

Opsera empowers enterprises to improve developer productivity, impact, time savings and accelerate the ROI of their investment in AI Code Assistants.

For enterprises looking to proactively measure the increase in ROI of their AI Code Assistant investments and improve productivity across all software delivery tools, teams, and environments, the new AI Code Assistant Insights in the Opsera Unified DevOps Platform provides actionable insights on developer-level productivity, pinpoints areas to improve adoption and includes reporting on the quality and success of AI suggestions.

Users can:

- Unify metrics across the "Code to Cloud" journey, incorporating DevEx KPIs (time to PR, lead time, cycle time, and performance), source code metrics (commits, PRs, throughput, quality, and security), and DORA metrics (deployment frequency, change failure rate, lead time, and MTTR). This comprehensive approach allows you to measure impact, acceptance rate, and velocity effectively.

- Gain actionable insights into team performance, including throughput, quality, velocity, security, and stability, as well as developer-level metrics, to pinpoint areas for improvement and optimize processes.

- Seamlessly integrate with leading AI code assistants like GitHub Copilot and Amazon Q, offering a unique, holistic "single pane of glass" view of the entire development lifecycle.

"AI Code Assistants are critical for developer productivity and efficiency, and we are proud to enable engineering teams to adopt them and realize their benefits faster than ever before and provide metrics on the positive impact," said Kumar Chivukula, co-founder and CEO of Opsera. "With Opsera's Unified DevOps Platform, we provide persona and team-level insights, pinpoint bottlenecks and inefficiencies using Opsera Hummingbird AI, and measure security and quality across tools to help enterprises improve overall developer productivity and experience."

Opsera integrates with the entire software development lifecycle with over 100 native integrations and unified data for SDLC, IaC, SaaS applications like Salesforce, Databricks, and Snowflake, and mobile application development. This helps teams maximize their investment and provides the most comprehensive end-to-end view in the industry.