Focused practice
Work on the capability holding you back instead of consuming another course.
We build top 1% tech experts.
We train people to own Software, Data, and AI work with strong judgment and less dependence on instructions.
We turn knowledge into mastery.
We help ambitious people turn knowledge into mastery through focused practice, guided improvement, and measurable progress.
See how our system worksGuided improvement
Use expert feedback to make the next attempt better.
Measurable progress
Compare your work across attempts and reduce the help you need.
Our vision
An education system built with learning infrastructure for an AI-native world.
Featured program from Egoist Curricula
Top 1% Software Engineer Program.
Make better decisions. Catch expensive mistakes. Ship work you can defend.
Make senior decisions sooner.
AI-exposed entry roles are seven times more likely to ask for skills once reserved for senior hires. You will practice judgment, ownership, and clear communication now. PwC, 2026
Stop shipping almost-right code.
Sixty percent of developers say AI answers that are almost right cause frustration. You will learn to test the output, find the failure, and know when to start again. Stack Overflow, 2025
Own more than a ticket.
Take one product from idea to release. You make the architecture, product, data, testing, and deployment decisions that tutorials make for you.
Leave with proof.
Show the finished product, explain your tradeoffs, and defend the work AI helped produce. Your claim becomes something another engineer can inspect.
Why this program hits differently.
Tutorials remove the messy decisions. This program gives them back. You own one product, use AI throughout, receive direct critique, and answer for the result.
AI makes judgment easier to fake.
You can produce more code, research, and analysis than before. You can also ship mistakes faster and struggle to explain the work you produced.
We train learners to test the output, question it, and answer for the result.
62%
Average wage premium for workers with AI skills in PwC's 2026 global analysis.
Read PwC's report55%
Faster completion in GitHub's controlled study of one JavaScript task with Copilot.
Read GitHub's study19%
Longer completion time when experienced developers used AI in familiar repositories in METR's study.
Read METR's studyJudge us by what our learners can do.
We look at what each learner can now handle, the confidence they earned through repeated work, and the projects they can show and defend.
As our first cohorts progress, we will publish their finished projects, the decisions behind them, and the outcomes we can verify.
See how we measure impactThe proof we owe learners
Show what they built. Show how they think. Show what they can now handle without us.
The people closest to the work should shape the training.
Product teams show us where new hires struggle. Senior practitioners define what strong work looks like. Hiring and education partners challenge whether our evidence deserves recognition.
Partner conversations open
Build a program with usIndustry project partners
Contribute a real task, the constraints around it, and the mistakes teams encounter in practice.
Expert reviewers
Define the standard for the role and critique the decisions learners make.
Hiring partners
Review finished projects and tell us whether the work proves readiness for the role.
Education partners
Strengthen our assessment, quality assurance, and path toward recognized credentials.
Take on work worth being trusted with.
Choose a career program, build the full product, and let experts challenge your major decisions before an employer has to.