AI changed how we write software. We must change how we release it.
Blog post from LaunchDarkly
LaunchDarkly has introduced Release Autopilot, an automation system designed to manage the production release process for AI-generated and human-written code by assessing pull-request risk, adding feature flags when needed, progressively rolling out changes, monitoring predefined metrics, and automatically holding or rolling back problematic releases. The product is intended to address release management as a growing bottleneck as AI increases software output, complementing rather than replacing existing CI/CD pipelines and code review processes. Teams can determine its level of autonomy, beginning with recommendations and approvals before allowing full automation for lower-risk changes. LaunchDarkly reports that its internal use of similar automation has enabled more than 20% of pull requests to reach production without human review, doubled monthly merged pull requests, nearly quadrupled feature flag creation, automated 42% of flag removals, and reduced Major and Critical incident time by about 70% over the past year. Release Autopilot is generally available November 16, with some features remaining in beta.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.