The Velocity Lab

Dave O'Dell and Dan McAulay
  • 5.0 (1)
  • Technology

Dave O'Dell and Dan McAulay work inside engineering organizations every day, helping them ship faster with AI — not in theory, but inside their actual teams. Each week they share what they're seeing in the field: what's working, what isn't, and what most people are getting wrong. Covering Claude Code updates, AI-enabled SDLC acceleration, and personal AI agents. No hype, no BS.

  1. 5d ago

    Your Agent Can't Delete What It Can't Touch

    Episode Summary Two years ago an AI mistake meant a misformatted screen. Now it can mean a security leak or a nuked database. Dave and Dan explain why agent security is the new DevSecOps, and why an autonomous agent in an isolated cloud environment can actually be less risky than a human running one on their laptop. ▶ Subscribe to The Velocity Lab on YouTube: youtube.com/@app-vitals Key Topics Why the stakes changed: agents now run autonomously with access to real systems Model-level safeguards are improving, but models are still probabilistic, so infrastructure has to carry the load Blast radius: an agent can only touch what you give it, and a token without merge rights cannot merge Why a sandboxed cloud agent can be safer than local agents on laptops with elevated permissions Lessons from working with PCI clients: start with zero permissions and grant only what is needed Planning in the loop locally vs. autonomous execution in the cloud Notable Quotes "It's actually less risky to have an autonomous agent running in the cloud writing software than having it running locally." "If you don't give it the ability to merge a pull request, it can't merge a pull request. Black and white." "Everyone's gonna be using agents. Just be smart about what you give it access to." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  2. Oct 12

    Why Everyone Needs an AI Personal Assistant

    Episode Summary Dave's advice to anyone, technical or not, is to stop treating AI as a chatbot and get a real AI personal assistant. He and Dan break down what separates the two: memory that learns you, an agent running 24/7 on your behalf, and a mindset shift from search box to staff member. Dan, the skeptic, turns out to have already used one to fill two days of open houses. ▶ Subscribe to The Velocity Lab on YouTube: youtube.com/@app-vitals Key Topics Chatbot vs. assistant: why a chatbot is glorified search and an assistant is a staff member working toward your goals Memory: short, medium and long-term memory that knows your size, your style and your loyalty programs without being told 24/7 agents: recurring research and reminders, like a weekly hunt for Dave's "unicorn wallet" Building systems: using an assistant to stick with goals like learning guitar or planning a trip Dan's apartment rental: drafted listings, email replies and a fully booked open-house schedule Your options: self-hosted OpenClaw, hosted OpenClaw, Meta AI, Lindy, and Grok, plus what not to give an assistant access to Notable Quotes "A chatbot is a chatbot. It's glorified search. A personal assistant is a staff member that works for you and with you." "Everyone, their lives would be better off if they had an AI personal assistant. I firmly believe that, and I can prove it." "Do yourself a favor and try it out, 'cause it's gonna literally change your life for the better." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  3. Sep 28

    Three Years From Now: The Tech Is Ready, Your Org Chart Isn't

    Episode Summary A listener asked where App Vitals will be in three years. Dave and Dan agree the technology is already capable of near-total automation — what is actually slowing everything down is human organizations: committees, approval meetings, and a management layer built around oversight rather than output. Then the conversation widens into the physical world, where autonomous robots and self-driving trucks are about to do to millions of jobs what AI is already doing to software. Key Topics The technology is ready, the humans are not — why adoption, not capability, is the real bottleneck A patent lawyer's fear of falling behind, and how far non-engineering fields still are from integrating AI Why management titles built around meetings and oversight have to disappear You can 10X how fast you ship and still move slow, if approvals run through a committee Moving upstream: from writing PRDs to setting goals and letting the factory run The three-year prediction — autonomous robots, grocery stocking, and long-haul trucking Notable Quotes "The slow part is not the technology, it's the human beings that are getting in the way of the technology." "Those people with titles have influence. A lot of those titles are gonna go, they have to go away. It's mandatory." "Long haul trucking is gonna be replaced, and that's millions of high-paying, good-paying jobs for people." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  4. Sep 22

    We Haven't Written Code in Eight Months (Here's What We Do Instead)

    Episode Summary Dave and Dan run a two-person AI consulting company where the back office has quietly disappeared into automation: time tracking, invoicing, payroll, the weekly newsletter, and this very podcast all run on agents rather than people. That leads them to the question the whole episode circles — if two people can automate this much, what does a 200-person company actually need all those people for? Key Topics Finance on autopilot — hourly billing, monthly invoicing, and S-corp payroll and distributions handled by their own agents alongside Gusto, with a CPA still owning tax compliance Marketing and podcast production — a weekly newsletter assembled from blog content, and a podcast pipeline that records, edits, publishes, clips, and schedules itself Build instead of subscribe — replacing Cal.com with their own scheduling tool to cut the bill and add the features they actually wanted The internal stack — Shipwright for autonomous coding, Vitals OS for time tracking, and Squadron for goal-driven autonomous projects Where automation still falls short — marketing results lag, and closing a deal is still a human skill AI has not replaced Two paths for AI adoption — cut headcount for margin, or keep the team and use the same automation to move faster and build more Notable Quotes "We haven't written a line of code in eight months. We plan, and we validate, for Shipwright." "Software engineers do not need to write code anymore. That's a solved problem." "200-person company, right? What does that mean when, if we can automate it, shouldn't they be able to automate all this stuff out?" About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  5. Sep 21

    AI Transformation Is a Trust Problem, Not a Tool Problem

    Episode Summary Real AI adoption doesn't stall on tooling — it stalls on two human prerequisites: trusting the AI, and trusting your team. Dave and Dan unpack why AI transformation is genuinely hard, how they stopped hand-writing code entirely, and why the organisations that substitute process for trust are the ones that can't move. Key Topics Why AI transformation is hard — it threatens managers' headcount and engineers' identity as people who write code Trusting AI — you have to watch it succeed repeatedly first; eight months without hand-writing code, and 10,000 PRs shipped across their own company and clients The plan-then-validate workflow — PRD to task to agent execution, and why a non-coder and a developer arrive at trust by completely different routes Multitasking as the underrated soft skill of the AI era — going from single-threaded work to running parallel planning sessions Trusting your team — bureaucracy exists so organisations don't have to trust people, which is exactly why small teams outrun big ones Verification as the third pillar — automated testing and canary deploys, so a mistake rolls itself back Notable Quotes "You're asking human beings to make a massive change in how they work." "Trusting your teammate is an organizational issue." "We haven't written a line of code in eight months, and shipped 10,000 PRs for not just our company, but other companies." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  6. Sep 15

    The Better the Model, the Smaller the Harness

    Episode Summary Dave and Dan break down the harness — the orchestration layer wrapped around an AI coding agent — and why it increasingly matters more than the model underneath it. They get into Anthropic deleting 80% of Claude Code's system prompt with nothing breaking, what that does to your token bill, and the thesis they land on: the better the models get, the smaller the harness you want. Key Topics What a harness actually is — and why Shipwright sits on top of Claude Code instead of replacing it General vs. domain-specific harnesses: how Shipwright gets opinionated about PRs and reviews Dan's second harness — an upstream, KPI-driven planning layer that writes no code at all Boris's reveal: 80% of Claude Code's system prompt deleted, nothing broke, and what that saves you in tokens Model economics in practice — Sonnet vs. Opus vs. Fable, and the pull toward Groq and DeepSeek Token anxiety: six agents running 24/7, a $2,000 overage month, and what a Fortune 200 team spends vetting open-source models Notable Quotes "Boris said that they deleted 80% of the system prompt for Claude Code and nothing broke." "The better the models get, the smaller the harness you want." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  7. Sep 10

    The Four Soft Skills That Decide Who Stays an Engineer

    Episode Summary Dave O'Dell and Dan McAulay argue that the software engineer's role isn't disappearing, it's changing dramatically, and that raw coding ability is no longer what separates a viable developer from an obsolete one. They break down the four soft skills they now interview for: articulation, curiosity, delegation, and full software development lifecycle awareness. Key Topics Why they adopted AI early — fear of being left behind, and the bet that a huge share of developer jobs change within five years Articulation — describing both what you want and what success looks like, which Dan connects to "loop engineering": a goal plus a way to verify it Curiosity — agents run autonomously, so you have to stay curious about what the system is doing and why instead of blindly trusting it Delegation — a learnable, teachable skill rather than an innate one, and why building trust in the system is the hard part Full SDLC awareness — why being siloed to one repo and its APIs no longer works when AI writes the code The hiring bar — what Dave looks for in interviews, and why being an introvert isn't a blocker when you're mostly directing agents Notable Quotes "These are not nice to have. In my brain, if you don't have these, I'm not hiring you." "I'm guessing a huge percent of the developers five years from now are gonna be having completely different jobs. I don't wanna be one of those." "Building trust in the system is a huge one for delegating." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

  8. Sep 10

    Why Google Can't Move Fast (And Two Guys With Six Agents Can)

    Episode Summary Thirteen months ago DHH called AI "slop" and a fancy autocomplete. Today he runs his own agent-orchestration project and reviews PRs from an inbox. That turnaround is the jumping-off point for a bigger question: why can't companies with the best engineers in the world and effectively unlimited resources move as fast as two people with six agents? Dave and Dan argue the bottleneck was never talent or compute. It's process — the PRD review, the design doc meeting, the meeting about the meeting — and you don't fix that by adopting AI slowly. Key Topics DHH's 13-month reversal, and what it says about where the skeptics land Why unlimited resources stopped being a moat — everyone has them now Two people, six agents: what a two-person company actually ships in a year The human-to-human bottleneck is bureaucracy, not conversation The two adoption paths: slow drip, or pull your best engineers off everything for 6–12 months Why flattening the org is the precondition, not the reward — and what managers should automate first Building your own tools instead of buying: the booking and billing stack behind App Vitals Notable Quotes "Oh my God, how cute, someone's still paying you to write code? Good luck, buddy." "Take a handful of your best engineers, remove them from any company function whatsoever, and say, we are going to adopt AI for every single process across the board." "You gotta flatten your org or you're not gonna be competitive." "Let builders build. You have to do it. You can't stop 'em." About The Velocity Lab Dave O'Dell and Dan McAulay work inside engineering organizations every day helping them ship faster with AI. No hype, no BS — just what's working in the field. Subscribe: RSS

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About

Dave O'Dell and Dan McAulay work inside engineering organizations every day, helping them ship faster with AI — not in theory, but inside their actual teams. Each week they share what they're seeing in the field: what's working, what isn't, and what most people are getting wrong. Covering Claude Code updates, AI-enabled SDLC acceleration, and personal AI agents. No hype, no BS.

Information

  • Creator
    Dave O'Dell and Dan McAulay
  • Years Active
    2026
  • Episodes
    39
  • Rating
    Clean
  • Copyright
    © 2026 Dave O'Dell and Dan McAulay
  • Show Website
    The Velocity Lab