69 posts tagged with "vibe coding"

On April 28, 2026, TELUS and L-SPARK announced the TELUS Sovereign AI Accelerator, a program designed to help Canadian AI startups and scaleups build, train, and deploy advanced AI solutions using Canadian-controlled AI infrastructure.

Codalio was named in the inaugural cohort.

That is the headline.

But the more interesting story is underneath it: Canadian AI is moving out of the demo phase.

The market has had enough prototype theater. Founders can already make impressive screenshots. Teams can already wire up a chatbot, generate a landing page, or produce a fake dashboard in a weekend. That is useful, but it is not the hard part anymore.

The hard part is building systems that can be trusted, operated, handed off, scaled, and improved.

That is where this moment matters for Codalio.

Last week, we made the case for writing a PRD before writing a single line of code. We covered the five core sections of a real Product Requirements Document — elevator pitch, problem statement, solution overview, user flows, and phasing strategy — and why skipping them turns your MVP into a money pit.

This week, we're showing you something practical: how to take the business requirements you've already built in Codalio and turn them into a polished pitch deck using Gamma — in about ten minutes.

No copying and pasting between twelve tabs. No starting from a blank slide. No hiring a designer to translate your product vision into investor-speak.

Just your PRD, Gamma's AI, and a workflow that actually makes sense.

A screenshot can make a founder feel like the product is almost real.

The dashboard is there. The button works. The onboarding flow looks clean enough to share. Someone can finally say, "Look, we built it."

That moment matters. Momentum matters. A visible demo is often the first time an idea stops living only in a pitch deck and starts feeling concrete.

But the screenshot is not the MVP.

The screenshot proves the happy path can be shown. The MVP has to prove the product can survive contact with real users, messy data, unclear permissions, failed payments, support questions, and all the small decisions that never appear in the demo.

This is where a lot of AI-built products and rushed MVP builds quietly break. They do not fail because the screen looks bad. They fail because the product does not have a reliable source of truth underneath it.

This week, the AI coding conversation got louder again.

Cursor showed up in major deal reporting.

Security partners started talking more directly about how to make vibe-coded software safer.

And the broader "Software 3.0" conversation kept pointing at the same shift: writing code is becoming less scarce, while deciding what the code should actually do is becoming more important.

That is the part founders should pay attention to.

Not because the tools are bad.

Because the tools are getting good enough that vague direction becomes expensive faster.

This week, I kept seeing two different conversations that were really about the same thing.

One was the loud version. Bigger funding. Bigger tool adoption. Bigger headlines around the AI coding layer.

The other was quieter, but more useful.

Founders and builders on Reddit were talking about what happens after the exciting part. The app is live. Some users show up. A few workflows break. Something times out. A form accepts bad input. A background task behaves differently than expected. No one is fully sure how to debug it.

That second conversation is the one I think matters most right now.

Because the market has mostly accepted that founders can get an MVP on screen much faster than they could a year ago.

What it has not solved is what happens when that MVP meets real use.

Over the last week, X kept making the same point in three different ways.

One post was another tool list for non-technical founders. One pushed back on the "built in 48 hours" genre. One reframed PRD review as part of the AI workflow, not as paperwork.

Different posts. Same message.

It is easier than ever to generate software.

It is still very easy to generate the wrong thing.

If you are a founder, that is the part worth slowing down for.

This guide is for people who can already get a prototype on the screen. The problem is what happens after. A feature disappears. The login flow kind of works, but you do not trust it. A developer asks what the product is actually supposed to do and the answer lives in five different chats and one half-finished doc.

That is the point where speed stops feeling like progress and starts feeling fragile.

The internet loves a weekend build.

A founder ships something in 48 hours, posts a screenshot, and the replies fill with excitement. That reaction makes sense. The demo is visible. It compresses hope into a single image.

But the 48-hour build was never the expensive part.

The expensive part is the two weeks after.

That is when someone asks what the workflow is really supposed to do. That is when a developer has to turn a vibe into a system. That is when pricing changes, token budgets, security constraints, and handoffs turn a fun prototype into a real product decision.

That is where most AI-built MVP stories stop being inspirational and start becoming operational.

Last week, we broke down the MVP crisis: why 90% of startups fail, why the MVP phase bleeds founders dry, and why speed to market is the variable that separates survivors from the startup graveyard. If you missed it, go read that first.

The short version: MVPs take too long, cost too much, and most founders confuse them with prototypes or landing pages. The fix isn’t “just build faster.” Speed without structure produces chaos.

This week, we’re going deeper into the structure part. Specifically, the document that should exist before a single line of code gets written — and almost never does.

We’re talking about the PRD. The Product Requirements Document.

If that sounds boring, good. It should sound boring. The most important documents in any company are the ones nobody wants to write. And the PRD is the one that, when skipped, turns your MVP from a learning machine into a money pit.

Ninety percent of startups fail. You’ve heard that number so many times it’s lost its weight. But sit with it for a second. Nine out of ten. Not nine out of ten bad ideas. Nine out of ten funded, staffed, motivated teams with real money, real talent, and real conviction.

The question isn’t whether startups fail. The question is why the ones with promising ideas still fail. And for a startling number of them, the answer traces back to a single phase: the MVP.

The minimum viable product was supposed to be the antidote to wasted effort. Build small, learn fast, iterate. Eric Ries popularized the concept in The Lean Startup, and it became gospel. Every accelerator teaches it. Every pitch deck references it. Every founder swears by it.

And yet, MVP development remains the phase where most startups bleed out.

This is the crisis nobody talks about honestly. Not the “startups are hard” platitude. The specific, structural reasons why the MVP phase — the one designed to reduce risk — has become the phase that generates the most risk.

Most product requirements documents are beautifully written obituaries. They describe what should exist. Then they sit in a Google Doc while the engineering team builds something else entirely.

The problem isn’t that teams ignore documentation. It’s that traditional PRDs were designed to be read, not executed. They inform. They don’t generate. There’s a fundamental gap between a document that says “the system should handle user authentication” and a system that actually handles user authentication. That gap is where most startup budgets go to die.

Codalio was built on a different premise. What if the PRD didn’t just describe the product—what if it was the product’s blueprint in the literal sense? What if every section fed directly into code generation, database design, and UI architecture?

That’s not a metaphor. That’s how the platform works.