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Cloud & Infrastructure
The New Stack·Jun 30·5 min read
“The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production
TL;DR
Enterprises faced limitations with fixed scripts in their delivery pipelines, which restricted flexibility. Harness introduced Autonomous Worker Agents, AI agents that can perform tasks like deployment and security scans while adhering to existing governance.
✦ Why It Matters
Engineers can leverage AI agents to enhance flexibility in software delivery while maintaining compliance and oversight.
Key Takeaways
- Explore the use of Autonomous Worker Agents in your delivery pipeline.
- Utilize the Markdown file format for easy agent creation.
- Implement auditability features to track agent actions.
- Consider adopting prebuilt agents from the Harness marketplace.
How It Works
Autonomous Worker Agents are defined in a single Markdown file, allowing developers to write instructions in plain English. These agents operate on the customer's infrastructure, ensuring security and control while executing tasks in a sandboxed environment.
Harness also provides a Software Delivery Knowledge Graph that informs agent actions based on the customer's specific context.