The harder challenge in building software was never generating code. It's preserving context, coordinating decisions, and continuously validating that what's being built still reflects the original business intent. Join Rangle, the engineering consultancy behind AI and digital platforms for organizations including Nike, Hims & Hers, UNIQLO, Sanofi, Roche, Google, Staples, and The North Face, for a discussion on why the next evolution of software development isn't faster coding, but rethinking the software development lifecycle itself.

We'll explore how ideas like intent-driven planning, semantic roadmaps, long-running agents, orchestration, and continuous validation are reshaping how software moves from business objective to production. Rather than asking "How do we use AI to write code?", we'll ask a more fundamental question: how should software development itself change now that AI can write code?

What you'll learn#

• Why coding is no longer the primary bottleneck in software development.
• Why the traditional Software Development Lifecycle (SDLC) is breaking down in the AI era.
• How AI-native teams coordinate planning, implementation, validation, and deployment differently.
• Why intent is replacing requirements as the foundation of software delivery.
• What an AI-native software lifecycle looks like in practice.
• The capabilities organizations need to build software dramatically faster without sacrificing quality.

Who this is for#

Senior technology and engineering leaders, including CTOs, VPs of Engineering, Heads of Engineering, Engineering Directors, and Enterprise Architects, who are responsible for defining how software is built across their organization. Built for leaders looking to modernize their software delivery operating model and prepare their engineering organizations for the AI era.

Can't make it live? Register anyway: every registrant gets the ebook, How Modern Engineering Teams Are Rethinking Software Development, and the full session recording after the event.

The full session on why the next evolution of software development isn't faster coding, but rethinking the software development lifecycle itself.

What's in the recording#

• Why coding is no longer the primary bottleneck in software development.
• Why the traditional SDLC is breaking down in the AI era, and how AI-native teams coordinate planning, implementation, validation, and deployment differently.
• Why intent is replacing requirements as the foundation of software delivery, and what an AI-native software lifecycle looks like in practice.