From SDLC to ADLC: The Enterprise Agent Development Lifecycle | Sam Julien | TestMu 2025
In this insightful TestMu 2025 session, ๐๐๐ฆ ๐๐ฎ๐ฅ๐ข๐๐ง, Director of Developer Relations, Writer, unpacks how enterprises must evolve from the traditional Software Development Life Cycle (SDLC) to an Agent Development Life Cycle (ADLC) in the age of AI and agentic systems. He explores the shift from building simple AI apps to enterprise-grade agents, the challenges of scaling, compliance, governance, and the new roles emerging in organizations.
Packed with real-world examples and frameworks, this session gives you a roadmap for building, deploying, and supervising AI agents that actually deliver measurable outcomes in the enterprise.
๐๐๐ฌ๐ฌ๐ข๐จ๐ง ๐๐๐ฒ ๐๐๐ค๐๐๐ฐ๐๐ฒ๐ฌ:
Understand the shift from SDLC to ADLC and why traditional methods arenโt enough for AI agents.
Learn the spectrum of autonomy in agents, from structured prompts to fully autonomous systems.
Discover why process mapping is the new prompt engineering and how to separate deterministic vs. adaptive tasks.
Explore the new enterprise roles: agent owner, builder, champion, and supervisor.
See how to design modular, reusable agent systems to scale across the enterprise.
Learn the importance of evals (evaluation) over traditional QA in testing adaptive, nondeterministic agents.
Testฮผ
Testฮผ (TestMu) is more than just a virtual conference. It is an immersive experience designed by the community, for the community! A 3-day gathering that unites testers, developers, community leaders, industry experts, and ecosystem partners in the testing and QA field, all converging under a single virtual roof. ๐