If you’re building AI agents in enterprise, you’ve probably noticed two worlds colliding. Here’s what’s happening: business users are spinning up AI agents left and right, feeling like they can build anything. Meanwhile, developers are stuck being the ‘reality police’ \u2014 trying to make these things actually work in production while secretly wondering if they’re automating themselves out of a job.<\/p>\n\n\n\n
At the end of the day, many devs feel like they go through all this chaos \u2026 only to end up with a solution not that different from the software they\u2019ve built before.
From where we sit, however, developers aren\u2019t going anywhere. What\u2019s more, to realize the potential of AI agents, business users and developers need to work hand in hand. So, where do we go from here?<\/p>\n\n\n\n
After deploying over 5,000 agentic systems at leading enterprises like Vanguard, Salesforce, and Uber, we learned some important lessons about what works AND<\/strong> what doesn\u2019t. As we graduate our Agent Builder into public beta<\/a>, we\u2019re setting out to create a community of builders who can help us shape a new methodology for the modern enterprise.<\/p>\n\n\n\n In the past two decades, enterprises mastered the software development lifecycle (SDLC). Methods and practices like Agile, DevOps, and DORA brought speed, structure, and predictability to the work of crafting new tools and platforms.<\/p>\n\n\n\n Generative AI threw a curveball into this world, demanding that organizations learn to work with systems that, by their very nature, are non-deterministic. Agentic AI disrupted that playbook further.<\/p>\n\n\n\n The tech industry has begun to align around emerging standards like MCP<\/a> and A2A in the last six months. What we don\u2019t have at the moment is a clear methodology for\u200c creating and sustaining these incredibly powerful new tools in enterprise environments. <\/p>\n\n\n\n What we need is basically ‘Agile for Agents’ \u2014 a playbook that actually works for building, shipping, and maintaining agents at scale. Internally we\u2019ve started referring to this as the Agent Development Lifecycle (ADLC.)<\/p>\n\n\n\n If you want to help us build the ADLC, sign up here:<\/p>\n\n\n\nReimagining the SDLC for an agentic world<\/h2>\n\n\n\n
Join our builder community<\/h2>\n\n\n<\/div>\n\n\n