7 October 2025
AI Coding Agents Remove The Technical Co Founder Excuse
Non-technical founders no longer need a technical co-founder to ship a real product. AI coding agents have closed that gap, and I think most advisory conversations haven’t caught up yet.
Key takeaways
- Tools like Codex and Cursor let non-engineers ship functioning MVPs
- The old advisory question of who’s your CTO is now less useful
- What matters more is a founder’s AI-augmented build process
- Technical co-founders still add value, but they’re no longer a gate
- Go-to-market speed is now often the bigger constraint than code
I’ve sat in enough founder pitches, both as an operator building Obby and Baluu and now as an advisor through VAQA, to know how often the “no technical co-founder” objection killed momentum before a product even got tested. I’ve also watched, up close through FirstMotion’s own build process, how much of that objection has quietly evaporated over the last 18 months. This piece is about what’s actually changed, and how I think advisors and investors should be asking about it differently.
What’s actually changed with AI coding agents
Tools like OpenAI’s Codex and Cursor have moved well past autocomplete. They can scaffold a full application, wire up a database, handle authentication, and iterate on bugs from a plain English description of what’s broken.
That’s a genuinely different category of tool from what existed even two years ago. A founder with no formal engineering background can now describe a product, get working code, test it, and iterate, all without writing a line of syntax themselves.
I want to be precise about what I’m claiming here, because it’s easy to overstate. I’m not saying these tools replace senior engineering judgement on a scaling, security-critical system. I’m saying they remove the barrier to getting a first working version into a user’s hands, which used to be the entire justification for needing a technical co-founder before you could test anything.
Why “who’s your CTO” is the wrong opening question
For years, the standard advisory and investor question for a non-technical founder was some version of “who’s building this.” It was a reasonable question when building anything required specialist skills that took years to acquire.
I think that question now tells you less than it used to. A founder can have a brilliant AI-augmented build process and no traditional engineering background, and still have shipped a product that’s live, tested, and generating revenue.
What I ask instead in advisory conversations is closer to this:
- What’s your actual build process, and which tools are doing the heavy lifting?
- How do you review and test what the AI agent produces before it ships?
- Where does a human need to step in, and have you mapped that clearly?
- What happens when you hit a technical problem the agent can’t solve alone?
That last question still matters a lot. AI agents are extraordinary at generating working code fast; they’re much weaker at architectural judgement over time, at knowing when a shortcut today creates a mess in six months, and at reasoning about genuinely novel technical problems.
Where a technical co-founder still earns their place
I don’t think technical co-founders have become irrelevant. I think their value has moved.
Early-stage MVP generation used to be the scarce skill. Now the scarce skill is judgement: knowing which AI-generated shortcuts are safe to take, spotting security gaps an agent won’t flag on its own, and making the architectural calls that determine whether a product can actually scale.
A founder building solo with AI tools is taking on real technical debt risk, often without realising it until the product has real usage. That’s not a reason to avoid the approach. It’s a reason to be honest about the risk and plan for when to bring in senior technical help, whether that’s a hire, a fractional CTO, or an advisor who can audit the codebase before a funding round.
What this means for go-to-market speed
Here’s the part I think gets underweighted. If building the MVP is no longer the bottleneck, the bottleneck moves to go-to-market.
A founder who can ship fast with AI tools but hasn’t thought through positioning, distribution, or how buyers will actually find them, will still stall out. I’ve seen this pattern repeatedly in advisory work: the product exists, it’s genuinely functional, and it’s not getting in front of the right people because go-to-market was treated as an afterthought.
That shift changes where I’d spend advisory time with an early founder today. Less time gatekeeping on “can you build this at all,” more time on distribution strategy, ideal customer profile clarity, and whether the founder has a repeatable way to get the product seen.
How I’d evaluate a non-technical founder’s build process today
If I’m advising or assessing a founder who’s built solo with AI tools, here’s roughly what I look for.
| Signal | What it tells me |
|---|---|
| Can they explain their own architecture | Shows real ownership, not blind prompting |
| Have they had any technical review | Reduces risk of hidden debt at scale |
| Is the product actually live with users | Proves the process works end to end |
| Do they know their own limits | Predicts when they’ll ask for help in time |
| Is go-to-market equally thought through | Shows building wasn’t the only priority |
None of this is about whether they can code. It’s about whether they’ve built responsibly and whether they know what they don’t know.
The excuse that no longer holds up
“I couldn’t find a technical co-founder” used to be a reasonable explanation for a product that never got built. I don’t think it holds up anymore, and I say that as someone who’s built two companies the old way, where finding the right technical partner genuinely shaped what was possible in the early days.
That doesn’t mean building alone with AI tools is easy or risk-free. It means the excuse for not starting has largely disappeared, and the real differentiator has shifted to process, judgement, and speed to market.
Advisors, investors, and founders themselves need to update the questions they’re asking. The old gatekeeping question is stale. The useful one now is about how the building actually happens, and what comes after the first version ships.
Where this fits into growth and go to market advisory
This is a conversation I have often in VAQA advisory sessions, particularly with early-stage founders trying to work out whether to invest in a technical hire now or later. If you’re weighing that decision, or you’ve built with AI tools and want a second opinion on process and go-to-market readiness, get in touch. You can see more on what I advise on or about Tom.
Frequently Asked Questions
Can a non-technical founder really build a full product with AI tools alone?
Yes, for a genuine first version. Tools like Codex and Cursor can scaffold and iterate on functioning applications from plain English instructions, though founders should still plan for technical review before scaling or handling sensitive data.
Does this mean technical co-founders are no longer valuable?
No. Their value has shifted from initial build speed toward architectural judgement, security review, and knowing when AI-generated shortcuts create risk down the line.
What should investors ask instead of who’s your CTO?
I’d ask about the founder’s actual build process, how they review AI-generated code, and where they plan to bring in technical expertise as the product scales, rather than whether a technical co-founder exists at all.
How does VAQA help founders navigate this shift?
Through the Growth and Go-to-Market advisory pillars, I work with founders on exactly this kind of decision, including when to invest in technical hiring versus when an AI-augmented build process is enough for the current stage.
Is FirstMotion itself built this way?
FirstMotion’s own tooling and internal build process leans heavily on AI-augmented development, which is part of why I’ve seen this shift up close rather than just observed it from the outside.
Tom Batting is a Forbes 30 Under 30 entrepreneur, founder of Obby and Baluu, and founder of FirstMotion. He advises founders and leadership teams through VAQA.