Theory that lags hiring
Coursework is often years behind what campus and off-campus assessments actually look like. Students arrive at drives without enough live coding or production-style work.
KodeHunter was created by working engineers to replace passive video lectures with live systems work, rigorous code reviews, and hiring-standard interview prep.
Python and DSA through live classes, recordings, and regular practice — suitable for beginners.
Schemas, APIs, and projects that show how you think — not toy scripts that disappear after a test case passes.
Mock interviews, resume feedback, and placement-oriented guidance from engineers who have sat on both sides of the table.
Why we exist
Colleges and recorded bootcamps leave a gap that product-company hiring still tests for: writing code that holds up, explaining it, and shipping something real.
Coursework is often years behind what campus and off-campus assessments actually look like. Students arrive at drives without enough live coding or production-style work.
Many programs sell pre-recorded videos and automated test runners. You can pass the tests and still never get a genuine line-by-line code review.
We run live, engineer-led training. Learners are treated like junior developers from day one — code is reviewed, trade-offs are debated, and the work is the kind of systems work hiring teams recognize.
Who we train
The path is the same — foundations, applied work, interviews — but the starting point is not.
CS and related undergrads aiming for product companies. We build algorithmic intuition, live-coding stamina, and composure before campus drives.
Off-campus product roles need more than academic theory. We close that gap with backend projects and resumes hiring teams can actually evaluate.
QA, support, and service-firm developers moving into core backend and SDE work. Focus: APIs, architecture, and senior-level problem-solving.
The KodeHunter standard
Passing a unit test is the start of the conversation, not the end of it.
Learn from engineers designing and scaling software at product companies — not lectures from people who have not shipped to production in years.
Mentors go line by line: naming, structure, edge cases, and clean-code habits. Automated green checks are not a substitute for that.
Instead of stacking toy scripts, learners design schemas, implement REST APIs, and see how production systems handle scale.
1:1 live coding, problem walkthroughs, and resume project defense — modeled on real engineering interviews, not a question bank.
Leadership
Built by practitioners in backend engineering, distributed systems, and real-world software architecture — the same work we train people to do.
Mentors from product engineering teams who know what hiring managers probe in a technical round. Meet them, then decide if the fit is right.
Whether you are preparing for a first campus drive or moving into a backend role, we will map a path that matches where you are now.