Podcast
Spec-Driven Development:
The Missing Link in AI-Driven Engineering
Why AI Needs a Spec to Actually Work
AI can write code faster than ever; but is it writing the right code? In this podcast, Indexnine’s CTO and Lead AI Architect explore why velocity without structure creates a hidden crisis in enterprise software teams, and how spec-driven development closes the gap.
Podcast
Speaker: Aashish Singla – CTO at Indexnine
Moderator: Varun Ramanathan – Lead AI Architect at Indexnine
Why does velocity without clarity create chaos, and how do structured specs give AI the context it needs to actually work? This podcast unpacks the missing alignment layer in enterprise AI adoption.
What you'll take away from this podcast
- Why AI-assisted development accelerates execution but not alignment, and why this matters more as your codebase scales
- What context drift is, how to spot the early signs, and how it silently compounds into a refactor spiral
- The four-stage AI maturity model, and where most enterprise engineering teams actually sit today
- What a modern spec looks like: lightweight Markdown files, version-controlled, collaborative, and machine-readable
- The three pillars of Indexnine’s Spec-driven approach, specification framework, agent-assisted workflows, and governance rituals
- Why this is an executive conversation, not just an engineering one, with concrete ROI benchmarks, including 20–30% rework reduction
- A practical 90-day pilot framework your team can start without a big transformation program
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