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Agent Development Lifecycle

Assess

Techniques

A lifecycle framework for developing, deploying, and maintaining AI agents.

Why it's here

Placed in Assess: 2 article(s) of evidence from 2 source(s), led by framework updates, with 1 in the last 30 days. Confidence 42%.

Evidence (2)

  • 6InfoQ·9/21/2026framework_update
    Cloudflare Proposes an Agent Development Lifecycle for AI Software

    Cloudflare has introduced the Agent Development Lifecycle, a new approach for building and operating AI-driven software agents. The company says it is designed to reduce bottlenecks in testing, deployment, observability, and maintenance compared with traditional SDLC processes.

  • 7Cloudflare Blog·8/4/2026framework_update
    Cloudflare Introduces the Agent Development Lifecycle

    Cloudflare says AI agents are changing software development faster than traditional SDLC assumptions can handle, and argues for an Agent Development Lifecycle (ADLC) designed for software factories. The company is launching new tools for agent-oriented CI/CD, local observability with OpenTelemetry, and agent tracing to help agents build, test, deploy, and maintain software more autonomously.