The Bottleneck Moved from Coding to Verification
Generation is solved. Verification is not.
Your AI can produce a component in seconds. But can your designer see it without asking an engineer to run npm start?
The new constraint
Teams focused on generation quality are optimizing the wrong end of the pipeline. The code appears almost instantly now. The delay happens afterward: getting that output into a state where someone can look at it, click through it, and say "yes, this is what I meant" or "no, try again."
For a Series A - C team with three engineers and a designer who has ideas faster than anyone can implement them, this gap is where velocity dies. The designer describes a change. An agent generates the code. Then everyone waits while an engineer reviews, runs, and deploys a preview. The generation took four seconds. The verification loop took four hours.
"My theory is that we've moved the bottleneck now to: the hard part's going to be going in testing it, making sure it's good to go."
Adam,
What teams actually need
The goal is not "generate code." The goal is "designer throws an idea into a system, gets a preview link, iterates three times, and hands engineering a validated spec."
This means automatic preview environments. Every task, every branch, every iteration: a link appears. No engineer in the critical path until the idea has been tested by the person who had it.
"I really want people that are non-technical to be able to see what they've output and that before it even gets to an engineer's hand. This is my goal."
Hannes Rudolph,
The technical pieces exist. Preview deployment platforms (Vercel, Netlify, Railway) can spin up instances on every push. The missing piece is the connection: task runs, branch pushes, preview URL appears, non-engineer clicks and validates.
The tradeoff
Preview environments cost money. Every branch becomes infrastructure. For a team running dozens of experiments per week, this adds up.
The question is whether the cost of previews is lower than the cost of the current loop: engineer stops what they're doing, checks out the branch, runs the build, shares their screen or deploys manually, waits for feedback, context-switches back to their real work.
For most Series A - C teams, the math favors previews. Engineering time is the constraint. Infrastructure is cheaper than interruption.
Why this matters for your team
If you have a five-person team with one designer who generates ideas faster than engineering can validate them, the bottleneck is visible in your sprint. Features sit in "needs review" for days. Not because review is slow, but because seeing the output requires setup that only engineers know how to do.
The shift: treat preview environments as part of the agentic workflow, not as a nice-to-have for after code review passes. If a non-engineer can see the result before it reaches an engineer, you've just removed a round-trip from every experiment.
How Roo Code closes the verification loop
Roo Code is an AI coding agent that closes the loop by generating code, running commands, executing tests, and iterating based on results. When you wire Roo Code into a workflow that auto-deploys previews on every branch push, you eliminate the manual verification bottleneck entirely.
With BYOK (bring your own key), you connect directly to your preferred LLM provider without token markup. The agent generates the code, pushes to a branch, and your preview platform creates a shareable link. Your designer validates visually. Your PM confirms the behavior. Engineers review code that already matches intent.
The citable insight: When verification becomes automatic, the constraint shifts from "can we generate good code" to "can we validate ideas fast enough to keep up with the people who have them."
Generation vs. verification: where the bottleneck lives now
| Dimension | Generation-focused workflow | Verification-focused workflow |
|---|---|---|
| Primary constraint | Model quality and prompt accuracy | Time from output to visual confirmation |
| Engineer involvement | Required for generation and review | Required only for final code review |
| Non-engineer autonomy | Limited to describing requirements | Full iteration on visual output |
| Feedback loop time | Hours to days | Minutes |
| Cost structure | Tokens per generation | Preview infrastructure per branch |
Where to start
Wire your agent workflow to auto-deploy previews. Every completed task should produce a link that anyone on the team can open. The designer validates. The PM validates. Engineering reviews code that has already been confirmed to match intent.
The bottleneck moved. Move your tooling with it.
Frequently asked questions
Stop being the human glue between PRs
Cloud Agents review code, catch issues, and suggest fixes before you open the diff. You review the results, not the process.