You, a mentor, and Claude and Codex — building real software together.
Most training institutes still teach the old way: watch a video, copy the code, move to the next lecture. At Sahasra Technologies, we teach the way real development teams already work — building software alongside AI tools like Claude and Codex, with an experienced mentor guiding every step.
You start with the fundamentals the traditional way — no AI shortcuts, no skipped basics. Once you understand how the pieces fit together, we bring in AI pair-programming: you describe what you want to build, review what Claude or Codex proposes, question it, fix it, and understand every line before it ships. This is exactly how modern engineering teams operate — AI accelerates the typing, you provide the judgment.
By the time you finish a track, you have not just watched a real-time project get built — you have built one yourself, with a mentor and an AI pair-programmer beside you, and you can explain every design decision in an interview.
// the process
Five stages, every track
Fundamentals first — no shortcuts
Before any AI enters the room, you learn the language, the framework and the database the traditional way. Syntax, structure, debugging by hand. This is non-negotiable — you can't direct a tool you don't understand.
AI pair-programming, under supervision
Once the fundamentals are solid, you start building features with Claude and Codex as your pair-programmer. You describe the requirement; the AI proposes an implementation; a mentor is in the loop.
You review and debug what the AI writes
Every AI-proposed change gets read, questioned and tested by you before it's accepted. If it's wrong, you find out why — that's where the real learning happens.
Mentor code review and refactor
A mentor reviews the resulting code with you: naming, structure, edge cases, what a real code review at a real company would flag.
A portfolio-ready, real-time project
By the end of a track, you've shipped a working application — not a tutorial clone — that you can walk an interviewer through, decision by decision.
// honest faq
What this is — and isn't
Does the AI write the project for me?
No. The AI proposes code; you decide whether it's correct, you debug it when it isn't, and a mentor reviews it. If you can't explain a line, we don't move on.
Do I need to know AI tools before joining?
No. You'll learn Claude and Codex as part of the course — the same way you'll learn Git or SQL. No prior AI experience required.
Is this just "vibe coding"?
No. Vibe coding skips understanding. Our process is the opposite: fundamentals first, AI second, and a mentor checking that understanding actually happened.
Why teach this way instead of the traditional video-course way?
Because it's how real engineering teams already build software in 2026. Graduating without knowing how to work with an AI pair-programmer would leave you behind on day one of a real job.
Ready to build something real?
Tell us which track fits you, or ask us anything about the AI-assisted, mentor-guided approach.