Senior time recovery through production ownership.
A private cohort for backend teams adopting agents without turning senior engineers into the review bottleneck for generated code.
- + Stop turning senior engineers into unpaid validators for AI-generated code that nobody can defend.
- + Train engineers to catch retry storms, broken idempotency, backpressure collapse, and p99 budget breaches before production does.
- + End with an Architecture Defense where the team must prove the system, not narrate vibes about it.
- Program
- Private production ownership cohort
- Work
- One rolling backend under production pressure
- ROI
- Senior Time Recovery
- Close
- Architecture Defense with leadership
AI agents make code cheaper to produce. They do not make systems cheaper to own.
The bottleneck moves from writing code to setting standards for architecture, review, testing, debugging, and production readiness.
The senior engineer becomes the garbage collector.
Agents spray plausible code across handlers and queues. The mid-level ships the diff. The senior gets the unpaid job of finding the hidden contract break, the missing idempotency key, and the retry loop aimed at the database.
The demo passes. Production files a complaint.
The endpoint works on localhost, but crumbles when the queue backs up, retries synchronize, cache misses stampede, and the p99 budget gets incinerated.
The readout for leadership.
The pilot gives one backend team a shared delivery loop, and gives leadership artifacts they can inspect, reuse, and scale.
- 01
Senior Time Recovery Map.
A practical breakdown of which validation work can move to the team, and which risks stay with seniors to recover Staff-level roadmap time.
- 02
Production Failure Playbook.
Concrete drills for retry storms, queue backpressure, cache stampedes, dependency brownouts, and p99 budget breaches.
- 03
The Architecture Defense.
The climax: engineers defend the system under hostile interrogation about scaling limits, recovery paths, and operational cost.
Built for backend teams with real production responsibility.
- + Teams where Seniors are drowning in 'unpaid validation' of AI-generated code
- + Backend engineers who ship features but cannot yet defend their p99 behavior
- + Leadership willing to interrogate their team's architectural ownership
- - Junior-heavy teams still learning basic syntax and REST fundamentals
- - Teams looking for a 'magic' prompt engineering workshop or AI lectures
- - Organizations where 'shipping' is more important than 'owning'
- Audience
- Backend engineers who already ship production features
- Cadence
- Live sessions, homework, code reviews, and checkpoints
- Environment
- Dedicated repo and isolated cloud workspaces
- Close
- Final architecture walkthrough for leadership
From REST APIs to systems that survive production.
Engineers practice backend capabilities that leadership can inspect in code, reviews, deployment artifacts, and operational behavior.
- 01
Reject unowned AI output.
Treat generated code as hostile until it proves its contracts, tests, security posture, and operational behavior.
- 02
Design failure boundaries.
Define where retries stop, where backpressure starts, and what the system is allowed to drop or reject under load.
- 03
Protect the p99 budget.
Measure latency under load, identify fan-out and blocking paths, and explain trade-offs instead of hiding behind averages.
- 04
Defend the architecture.
Walk leadership through what breaks first, why the design holds, and where the remaining risk is deliberately parked.
Build the service. Scale the system. Operate it.
One backend grows through the whole cohort. Engineers use agents to plan, generate, test, refactor, deploy, and debug, but every major trade-off is reviewed against the next likely production failure.
- Chapter 01
Validate the Diff
REST, auth, validation, persistence, contracts, test rigor
Engineers build the backend while treating agent output as unverified material. Every generated handler, schema, and query has to earn trust through boundaries, tests, and explicit ownership.
- Chapter 02
Pressure the System
Queues, caching, rate limits, backpressure, idempotency, latency diagnosis
The system is pushed into ugly conditions: retry storms, slow dependencies, duplicate writes, queue growth, cache stampedes, and breached latency budgets. Engineers learn to fix causes, not decorate symptoms.
- Chapter 03
Architecture Defense
Observability, SLOs, scaling limits, leadership review, operational risk
The climax. Engineers defend the architecture under direct challenge: what fails first, what gets paged, what is safe to retry, what cannot be lost, and how much senior time the team no longer needs to consume.
Led by engineers who build and operate production systems.
Five years embedded with engineering teams, shipping systems that have to keep working after launch. The cohort focuses on the parts that decide whether agentic backend work is safe to own: architecture, CI, observability, reviews, and operational judgment.
What every engineering leader asks first.
Is this an AI course?
No. It is a production backend ownership course for the AI era. Agents are the accelerant. The problem is that senior engineers are being forced to validate mountains of generated output because the rest of the team cannot yet defend it.
What is the ROI?
Senior Time Recovery. The goal is to move repeatable validation, failure analysis, and architecture reasoning out of the senior bottleneck and into the team, without pretending that autocomplete is engineering judgment.
What makes this different from prompt training?
Prompt training teaches people how to ask for code. This teaches them how to distrust the answer, break it under realistic pressure, and prove the system still behaves when retries, queues, caches, and dependencies turn ugly.
How do you avoid toy exercises?
The same backend evolves through the cohort. It must handle persistence, pgvector, async jobs, caching, rate limits, observability, and failure drills around idempotency, backpressure, retry storms, and p99 budget breaches.
What happens in the Architecture Defense?
Engineers present the system to leadership and get challenged on design trade-offs, first failure points, scaling limits, recovery paths, and operational cost. If they cannot defend it, they do not own it.
A 20-minute call with Omer or Doron.
We will assess fit, show how the cohort works, and tell you plainly whether this is worth piloting for your team.