AI coding tools are everywhere—so why are most teams still shipping at the same speed?
The bottleneck isn't writing code. It's the workflow around it. Code‑Left is a practical framework that fixes that—for teams who want to ship faster without sacrificing quality or trust.
AI is in every step of delivery.
So why isn’t the workflow any faster
?
Sometimes it’s actually slower. Sound familiar?
AI coding tools were supposed to fix this. Most teams will admit they didn’t—because the workflow didn’t change.
The agent writes code, but the result is a pile of PRs no one trusts. That becomes the new bottleneck. Engineers feel bypassed and burned out by reading every line an agent wrote.
PMs are frustrated—they still can’t push the simple things through.
Leadership is puzzled by the gap between the premise and the reality.
A new
operating model
— not a new tool.
Written from real experience. No “two‑hours magic.” An invitation to invest your time in the most effective, scalable way.
Code‑Left redefines who does what when an agent is in the loop.
Engineers stop being the default implementer of every feature—or the babysitter for every agent prompt. Instead, they design the system that safely turns product intent into production code.
PMs stop writing requirements for humans to interpret, and start designing the context that lets any intent translate into a real feature in users’ hands—fast.
Designers stop pushing small mundane changes, and instead maintain an extendable, aligned information architecture and design system.
Built for PM, UX & engineering teams.
If any of this sounds like your week, this workshop is for you.
You’ve tried building “prototypes” that don’t actually help anyone move. You want a real process—not a prompt trick. You want to know what you can own, and what still needs engineering.
You’re tired of seeing thoughtful designs come back as AI Frankensteins—mediocre, weird, and disconnected from the system you built.
You’ve seen what happens when a PM runs an agent without structure. You want to stay in control of the codebase without becoming a bottleneck on every small thing. You want a workflow that works—not faster chaos.
What you’ll walk away with.
- 1 A shared mission—so your team is finally pushing for the same thing: a workflow that moves fast and still lets you sleep at night.
- 2 A working process designed for your team—intent → spec → agent → PR—that you’ve already used on a real feature.
- 3 At least one feature shipped from the workshop itself.
- 4 Integration points your engineer has defined—so the agent has safe seams to work through.
- 5 A team that knows how to scope and brief a feature so the agent can actually execute it.
Three sessions. Real work. Real output.
Two live sessions plus a private coaching call, with asynchronous work between them so the workshop happens on your real codebase.
Taught by people who are doing it .
We didn’t write this from a slide deck. We wrote it from the work.
I’m a builder at heart.
I’ve spent 20+ years building products at scale—at eBay, WeWork and Pecan AI—and I founded my own company in edTech.
What energizes me more than building is helping every person I work with get closer to their aspirations. I’m building echo‑Wisdom to help educators do exactly that.
Code‑Left started when Moran and I realised the method we’d found for actually leveraging AI could help a lot of other teams too.
I’m a hands-on engineer, founder, and former CTO who has spent years taking products from early ideas into real production systems. I’ve always cared about the practical side of building: how teams move fast without creating chaos, how codebases scale, and how good engineering turns vague intent into something stable, useful, and shippable.
Code Left is where my practical engineering experience meets Limor’s strong product discipline and the urgency to move faster with AI - doing more with less, without lowering the quality bar.
What teams usually ask before joining.
Clear answers for PM, UX, engineering, leadership, and the search engines trying to understand what this workshop actually does.
Who is the Code Left workshop for?
Code Left is built for PM, UX, and engineering teams that want to use AI coding agents on real product work without creating faster chaos or lowering the quality bar.
What will teams learn in the workshop?
Teams learn a practical workflow for turning product intent into scoped specs, agent prompts, reviewable pull requests, and safe production changes.
Is Code Left a prompt engineering course?
No. Code Left is an operating model for teams. It focuses on roles, context, workflow, review, and integration rather than generic prompt tricks.
What makes the workshop practical?
Participants apply the workflow to their own codebase and real features, with live sessions, asynchronous work, and a private coaching call.
Ready to ship in hours,
not
sprints
?
The next cohort is open. Spots are limited to 4 pairs—small enough for real coaching, real demos, real output.
Join the group to ask questions, meet us, and get cohort updates before you save a spot.
Join the WhatsApp group →