Experience changes hiring odds
Graduates with work experience are reported to be hired at roughly twice the rate of those without it.
Applications open soon for Cohort 1 · 30 online seats
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Online engineering simulation · Cohort 1 opening soon
The gap is not knowledge. It is experience.
A 12-week online program where students work like a real product team: ambiguous feature requests, reviewed pull requests, simulated traffic, security pressure, and a B2C product launch.
Applications open soon. First online cohort limited to 30 seats.
30
Cohort seats
12 weeks
Online simulation
2 tracks
One B2C launch
Why this exists
We are not adding more content. We are adding the missing first-job environment.
The gap
The experience gap, made visible.
The gap shows up in hiring, entry-level opportunity, and Pakistan's graduate pipeline. These are the signals the program is designed around.
New-grad share is shrinking
At Big Tech, new graduates represent a much smaller share of hires than before the market reset.
Pakistan's graduate pipeline
The local story is not a shortage of students. More than 80% are not entering industry roles.
Do not enter industry roles
derived from 18.3% entering roles
>80%
Enter industry roles
industry conversion
18.3%
Annual graduate supply
annual graduate supply
72,952
The gap, in plain terms
What students usually get
Lectures, tutorials, guided assignments
What employers need
Judgment, teamwork, PR fluency, production habits
What Eynvision simulates
Ambiguity, review, traffic, attacks, launch pressure
Curriculum
Learn the work around the code.
The curriculum is organized around the exact habits students need before they can be productive inside an engineering team.
Production fluency
What changes
Every feature ships through branches, pull requests, review, and a shared evolving codebase.
Teamwork and org skills
What changes
Participants work in squads of three inside two product teams with shared rituals and review etiquette.
Product thinking
What changes
Feature requests are deliberately vague, so squads must write specs and defend scope.
Knowing what to build
What changes
Squads build competing solutions, and the strongest pull request becomes the product baseline.
Scalability
What changes
Synthetic B2C traffic exposes bottlenecks and turns performance into a visible engineering problem.
Security
What changes
Simulated attacks force detection, response, hardening, and post-incident learning.
Tracks
Choose the track that matches how you want to build.
This section gives students a quick way to understand which path fits the kind of engineering work they want to practice.
Frontend-focused product surface
Full-Stack Engineering
For students who want to own user-facing features, interface quality, product flows, and client-side architecture.
React and TypeScript
Product UI
Feature PRs
Frontend architecture
Models, APIs, and product intelligence
AI Backend Engineering
For students who want to work on inference, data pipelines, services, and the backend systems behind an AI-backed product.
Python services
Model integration
API design
Cloud and data flows
Outcomes
Experience is becoming the differentiator.
This first version uses market data to explain why experience is the scarce signal for students entering the job market.
50%+
drop in Big Tech new-grad hiring from pre-pandemic levels.
Simulation
Same rhythm every cycle: request, spec, PR, review, merge.
This is the repeating loop students practice until production workflow stops feeling theoretical.
01
Vague feature request
Every cycle starts with deliberate ambiguity, like a real product backlog item.
02
Squad writes spec
Squads clarify scope, tradeoffs, and acceptance criteria before any code ships.
03
Branch and build
Implementation happens on branches with the same habits used in production teams.
04
Open pull request
Work is submitted for review with tests, context, and a clear merge rationale.
05
Review and judge
Peers evaluate quality, design, and readiness under realistic review pressure.
06
Best PR merges
The strongest contribution becomes the shared baseline for the next cycle.
Program format
Twelve weeks from setup to public launch.
A clear view of how the simulation ramps from workflow basics to launch pressure.
Week 1
Onboarding
Tooling, Git workflow, squad formation, codebase orientation, and rules of engagement.
Weeks 2-4
Foundations
Gentle feature cycles, spec writing, reviews, and baseline production habits.
Weeks 5-8
Acceleration
Tighter cycles, cross-squad integration, early traffic simulations, and first hardening work.
Weeks 9-11
Hardening
Sustained load, attack simulations, performance fixes, and product feature-complete discipline.
Week 12
Launch
A real B2C product goes live with paid acquisition, monitoring, feedback, and retrospective.
Built with industry context
Theory is useful. But students need the pressure, feedback, ambiguity, and habits of real engineering work.
Guest sessions from senior architects, founders, and security practitioners connect the simulation to how product engineering works outside the classroom.
Pakistan context
The opportunity is real. The preparation has to catch up.
Pakistan's IT export market is growing, but the talent bridge has to become more practical.
Admissions
Apply now. Applications open soon.
The application form will be added here. For now, this section sets the page structure and conversion flow for the first online cohort.
Cohort 1
30 seats
Online format. Two tracks. One B2C product launch. Pricing is intentionally not shown yet.