Build, Buy, or Ask the Bots? Re-pricing Software Economics in the Vibe-Coding Era

By Jeff Loyd

Elevator Pitch

AI agents now code features in minutes, wrecking the classic build-versus-buy math. This talk unveils a fresh FinOps-minded framework that measures velocity dividends, model spend, strategic control premiums and lock-in risk, so your team can decide when to build, buy, or delegate to bots.

Description

We once chose “build” or “buy” with spreadsheets full of human-hour rates and three-year license costs. Vibe-coding and swarms of code-writing agents have flipped that script. During this talk you will:
1. Watch a cold-start demo where conversational prompts produce production-ready code, tests, docs, and infra in under five minutes. 2. Discover why old ROI tables fail when 30-50 percent of the code now arrives by model inference, nearly instantly. 3. Examine a new four-factor calculus: Velocity Dividend, FinOps Guardrails, Strategic Control Premium, Strategic Risk. 4. Walk through a real estate CRM case study that cut our TCO and built significant competitive advantage through selective “ask-the-bots” decisions. 5. Leave with a one-page scorecard, a cost-model workbook, and dreams that can be reality today. You will exit ready to defend, with numbers, when to build, when to swipe the credit card, and when to hand the keyboard to the bots.

Notes

Why I’m the speaker:
* Former Head of Cloud Products and Engineering at Best Buy and AVP Cloud Strategy at GM Financial; reduced run rate by $90M at Best Buy using disciplined DevOps, FinOps and rolling out Generative AI to Engineering. * Co-founder of an AI-first Real Estate firm where multi-agent assistants already ship customer-facing code. * Regular coach to engineers and non-technical Realtors alike, so I translate complex ideas into plain speech.

Session needs: * Internet connection for a live five-minute coding demo (fallback screencast provided). * HDMI or USB-C output for projector screen viewing

Outcome: Attendees take home concrete templates that the CFP themes call for: productivity metrics, Gen-AI practice, and risk quantification.