Modern CTO How Agentic SDLC Turned a 5-month Project Into 5 Days with Brian Elliott, CEO at Blitzy and Tom Jackson, CTO at RSM US LLP
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Jan 12, 2026 
Brian Elliott, CEO of Blitzy, shares insights on using autonomous software development to dramatically accelerate project timelines. Tom Jackson, CTO at RSM US LLP, discusses the real hurdles of organizational adoption. They highlight how AI agents can compress months of work into mere days and the critical need for effective change management. The conversation dives into strategies for successful pilot teams and the integration of Blitzy’s technology, revealing how they achieved 5x engineering velocity amid real-world challenges.
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Agentic Development Scales Enterprise Work
- Blitzy ingests large enterprise codebases and autonomously completes most of multi-week or multi-month development work.
- The platform typically delivers ~80% of the work agentically, shifting teams to finish the final 20%.
People, Not Models, Become The Bottleneck
- The main barrier to AI-driven SDLC adoption is organizational change, not the technology itself.
- Teams must adopt deliberate, phased rollouts (crawl-walk-run) to scale usage successfully.
Start With A Knowledge Graph And Spec
- Ingest your codebase and create a knowledge graph so agents understand architecture and intent before running heavy inference.
- Use spec-driven inputs and human approval for plans to ensure alignment and reduce rework.