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Feature Flag Security in your CI/CD Pipeline | Harness Blog

Jul 22, 2026 By Lena Sano In Harness
Incorporating robust security measures into feature flag management is critical to protecting sensitive data and maintaining compliance. Harness FME security features, like remote evaluations in Thin SDKs and governed AI flag cleanup, let you practice security by design and standardize solid security practices across your teams.
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DevOps Toolchain Explained: How to Build One That Actually Scales | Harness Blog

Jul 22, 2026 By Eric Minick In Harness
A DevOps toolchain that scales is the smallest unified stack with central governance and golden paths, not the longest list. 71% of teams say context-switching drains productivity; 73% of leaders report barely any teams have golden paths (Harness). AI coding speed stresses the after-code stages where DevOps toolchain sprawl creates the biggest governance gaps. Unified platforms keep governance, verification, and rollback consistent as AI raises code volume entering the pipeline.
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Introducing Harness Agent DLC: Extending your SDLC to AI Agents

Jul 21, 2026 By Harness In Harness
Harness Agent DLC: Ship AI Agents to Production Safely Building an AI agent is easy. Getting one into production safely is where teams get stuck. Harness Agent DLC extends the software delivery lifecycle to AI agents, giving teams a clear path to evaluate, deploy, secure, observe, and optimize agents in production. Learn more: Because agents dynamically choose their own tools, APIs, and actions, their behavior can change every time they run. Harness Agent DLC gives engineering teams the controls needed to move beyond experiments and operate agents safely at scale.
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Introducing AI Agent Deployment in Harness Continuous Delivery | Harness Blog

Jul 21, 2026 By Akshit Madan In Harness
‍Teams building agents have converged on something that looks a lot like the software development lifecycle, but reshaped around a system whose output isn't deterministic: prototype an agent against a framework, evaluate it against a dataset of expected behavior, deploy it somewhere real, observe how it behaves against live traffic, and feed what you learn back into the next prototype. Call it the agent development lifecycle (Agent DLC).
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Introducing Harness AgentTrace: An Observability and Guardrail Framework for AI Agents | Harness Blog

Jul 21, 2026 By Sunil Gattupalle In Harness
AI agents fail differently from the software we spent the last two decades learning to monitor. We hear some version of the same story from teams shipping agents to production: an agent starts producing wrong answers. Not obviously broken: confident, well-formatted, plausible wrong. The logs are clean, latency looks healthy, and error rates sit at zero. Nothing flags a problem. A user eventually does.
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Software Release Management: A Practical Guide for Engineering Teams | Harness Blog

Jul 20, 2026 By Eric Minick In Harness
Software release management moves code through testing, approval, and into production with a clear rollback plan. 72% of organizations have hit a production incident from AI-generated code; developers now ship 63% faster (Harness, 2025). Effective release management needs defined stages, approval gates, automated testing, and the ability to roll back quickly. Feature flags, automated safety gates, and progressive delivery let teams ship faster and safer as AI raises code volume.
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Infrastructure as Code Isn't Enough: Why Database Delivery Must Evolve | Harness Blog

Jul 17, 2026 By Jesse Wang In Harness
‍ For more than a decade, Infrastructure as Code (IaC) has transformed how engineering organizations build and operate systems. Infrastructure became programmable, provisioning became repeatable, and configuration became version-controlled. Teams gained the ability to automate environment creation, enforce policy consistently, and scale infrastructure operations far beyond what manual processes could support.
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Microsoft's 570 Patches Just Armed Every Attacker

Jul 17, 2026 By Harness In Harness
Microsoft patched 570 security vulnerabilities this Patch Tuesday — but every patch is also a public disclosure. The second those fixes drop, attackers know exactly where 570 weaknesses live. The only question that matters: can you find and patch them across your entire environment before someone exploits them? The speed of discovery is only increasing. Are you ready for the velocity of this new world? Let us know in the comments.
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Identity and Permissions for AI Worker Agents in Harness | Harness Blog

Jul 16, 2026 By Shivansh Srivastava In Harness
When we launched Autonomous Worker Agents, governance inherited, not integrated, was the core promise: agents run inside the same pipelines, and inherit the same RBAC, policy, and audit trails already governing production, rather than getting security bolted on after the fact.
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