August 2026 Summaries

Config Management, now available in beta, offers a governed runtime control plane that separates runtime configuration from application deployments, allowing for instantaneous delivery of configuration changes across various environments without the need for code redeployments. This tool enables teams to manage configurations across development, staging, and production environments, facilitating immediate updates to runtime values such as retry limits and timeout thresholds through the Harness SDKs. By providing a centralized platform to create, organize, and govern runtime configurations, Config Management helps teams optimize application behavior, improve operational performance, and iterate through experimentation, while maintaining enterprise-grade governance and control. The platform supports managing AI-specific configurations, offering the same runtime control over AI behavior as traditional software, and is an integral part of the Harness platform's capabilities for progressively releasing features and monitoring production health.

Harness has introduced a significant update in July, unveiling 71 features that enhance the lifecycle management of AI agents, aligning with the increased productivity AI is bringing to software development. The updates include a comprehensive framework, Harness Agent DLC, that allows teams to manage AI agents through a unified platform used for traditional services, ensuring cohesive build, test, deploy, operate, and governance practices. A key feature, Harness CLI 3.0, offers a standardized command-line interface for both humans and AI agents, streamlining workflows across different modules. Additionally, new tools provide insights into AI spending and its outcomes, allowing leaders to trace AI token usage back to specific developments. The release also emphasizes security and governance, with tools like AI Bill of Materials that catalog AI components for better oversight and risk management. Continuous Delivery enhancements include Kubernetes canary deployments and a refined rollback process, while the platform's infrastructure as code management now integrates Ansible for a more seamless configuration workflow. These features reflect Harness's commitment to integrating AI into the software development lifecycle while maintaining control and visibility over AI-driven processes.