Operations | Monitoring | ITSM | DevOps | Cloud

The AI Velocity Paradox

AI-powered coding alone isn’t enough. True software delivery velocity requires end-to-end automation and intelligent governance across the entire lifecycle. Harness enables organizations to escape the AI Velocity Paradox by unifying speed, safety, and resilience, turning rapid development into a sustainable competitive advantage. The widespread adoption of AI coding assistants is transforming software engineering.

Streamline Software Delivery Right From Your IDE with Amazon Kiro and Harness

The integration of Amazon Kiro and Harness’s MCP server enables developers to manage, troubleshoot, and optimize CI/CD pipelines directly from their IDE using natural language, dramatically reducing manual effort and accelerating software delivery from code generation to production.

Harness Acquires Qwiet AI to Power Its Application Security for the AI Era

Harness acquires Qwiet AI to power application security in the AI era, embedding reachability analysis to cut noise and prioritize real risks. By Sanjay Nagaraj, SVP Global Engineering, Harness; Co-founder and CTO, Traceable by Harness Today, I am excited to share that Harness has acquired Qwiet AI (formerly ShiftLeft), a leader in agentic AI-powered vulnerability detection and reachability analysis.

{Unscripted} Autonomous Code Maintenance

Nothing drains developer productivity like codebase maintenance. The endless cycle of dependency upgrades, bug fixes, refactoring, and paying down technical debt is tedious, error-prone work that pulls engineers away from building new features. Harness Autonomous Code Maintenance (ACM) turns these manual chores into automated, intent-driven workflows. Developers can now state their intent in plain English, with prompts like, "Upgrade the front end from React 15.6 to 16.4". From there, the Harness AI agent drives the workflow.

{unscripted} AI for DevOps and DBDevOps

Many software engineers are experts in application code but not in the nuances of creating a production-ready delivery pipeline. Architect Mode acts as a seasoned DevOps expert, engaging the user in a conversation to design a pipeline that incorporates organizational best practices for security, quality, and compliance from the very beginning. It’s like having a personal DevOps architect as a partner.

{unscripted} IDP Knowledge Agent

We're making Internal Developer Platforms (IDPs) more accessible with a natural language assistant. Developers can ask questions like, "What are the failing checks for my service's scorecard?" or "Who is the owner of a service?" to find metadata instantly. The agent also bridges the gap to action by suggesting and executing self-service workflows, like creating a new repo or onboarding a new engineer. It can even assist in generating new workflows, turning complex processes into simple conversational tasks.

{unscripted} AI Verification and Rollback

Our first AI/ML capability, Continuous Verification, made Harness the first Continuous Delivery tool to understand observability telemetry and trigger rollbacks when deployments caused trouble. We knew we could do more to eliminate the friction involved in its setup. Deploying with confidence shouldn't require a coordination meeting between DevOps, SREs, and developers just to configure the right health checks. That’s why we’re introducing the next generation: AI Verification and Rollback.