$4M raised
Shark Tank · Janitri
A full product shipped in two weeks. The founders walked on stage with a finished build, not a prototype — $4M raised, $15M valuation.
The Agentic Development Lifecycle (ADLC) — Vixera Labs
// THE ADLC — REPLACING THE SDLC
Ship real software in weeks,not months.
Most teams still run the software development lifecycle at human pace. The Agentic Development Lifecycle (ADLC) puts AI agents at every stage — so the same product ships in a fraction of the time. It’s how I build, and what I teach.
$227M+
Combined client valuation
$45M+
Raised by founders we built for
100+
Products shipped
7
Products acquired
Products built this way have gone on Shark Tank and powered civic technology for a major US city government office.
// The core idea
Two life cyclesSame stages, different speed.
Specs / PRD
Traditional SDLCEvery spec & edge case up front · 3–6 months
Agentic Development LifecycleOne main artifact, AI-assisted~10–15% of the time
Break down
Traditional SDLCPM maps tickets + FE / BE / deploy deps · weeks
Agentic Development LifecycleTickets drawn from the PRD1–2 days · 90% AI / 10% human
Build + test
Traditional SDLCHand-coded, then manual QA · the long pole
Agentic Development LifecycleTDD loops itself to greenauto-verified per ticket
Ship + review
Traditional SDLCManual review cycles
Agentic Development LifecycleHuman review + unit + Playwright
// What that adds up to
The same productA fraction of the time.
Traditional
6 – 9 months
Agentic Development Lifecycle
4 – 8 weeks
Roughly 6–10× faster — not by cutting corners, but by collapsing the planning and hand-off overhead and letting agents do the building under test.
Same scope. Same quality bar. The engineering moves from typing to directing and verifying.
// How it works
One loop,run at every stage
Eight phases ring a single orchestrator: you set the direction, agents run each phase under test, and the results loop straight back to you. Watch it run, or pick any phase for the detail.
PHASE 01 / ENV SETUP
01
Environment Setup
// agent: SysArchitect
Provisions the workspace before a single line of code runs — repository, dependencies, secrets, and an isolated sandbox the rest of the loop builds inside.
PHASE OUTPUTS
- Provision repo & dependencies
- Secrets & config
- Spin a clean sandbox
REPLACES (SDLC)
// How do I know this works?
It’s not hype —it’s decades-old engineering
Every skill in this course traces back to the books serious engineers have trusted for years. New tools, proven principles.
Tracer bullets
Build a thin, working slice end-to-end to prove the architecture before fleshing it out.
The Pragmatic Programmer · Hunt & Thomas
Deep modules
Clean, self-contained pieces with simple edges — a codebase you can navigate.
A Philosophy of Software Design · John Ousterhout
Red · green · refactor
Write the test, make it pass, then improve — the loop the agent runs.
Test-Driven Development · Kent Beck
// Who you learn from
You learn it fromsomeone who still ships it.
HarshFounder, Vixera Labs
I’m not a course-seller who stopped building. I run a studio that ships real products for founders — and the ADLC is the exact way my team and I work every day.
This program is me handing you that lifecycle, unedited.
- Products I’ve built have raised $45M+ and reached $227M+ in combined valuation.
- Seven of them were acquired — most builders never ship one that is.
- Two went on Shark Tank; one full build shipped in two weeks and raised $4M on stage.
// Proof, not theory
These are real productsbuilt the exact way you’ll learn
The lifecycle in this program isn’t a classroom exercise — it’s what shipped these.
$4M ARR
21,000+ customers · Mckayn
The tools that turned Reddit into their highest-converting channel — shipped, in production, used every day.
Acquired pre-launch
Medical devices · PulzCAD
An entire CDSCO-ready diagnostic stack built to spec — acquisition-ready from day one.
Across the portfolio: $227M+ combined valuation, $45M+ raised, seven acquired.
// Is this for you?
It’s selectiveon purpose
Spots are limited and every applicant is reviewed personally. Be honest with yourself before you apply — it’s the fastest way to know.
This is for you if…
- Founders who want to build and ship their own product, not just brief an agency.
- Engineers ready to move from typing every line to directing agents under test.
- People with a real thing to build in the next few months — not “someday”.
- Anyone who wants the full lifecycle, not a pile of disconnected AI tips.
Probably not yet if…
- Looking for a hands-off “done for you” build — that’s the studio, not this.
- Wanting a one-hour prompt-pack shortcut with no engineering underneath.
- Not willing to put in real reps between sessions.
- Hoping AI removes the need to think about software at all.
// Before you apply
The questionseveryone asks
Everything worth knowing before you spend 30 minutes on a call.
Plan for roughly 5–8 focused hours a week between sessions — most of it spent building your own product with the lifecycle, not watching lectures.
You should be comfortable being technical and willing to read code. You don’t need to be a senior engineer — the whole point of the ADLC is that agents do the typing while you direct and verify.
A guided cohort: working sessions, real builds, and direct feedback from Harsh. You walk out having shipped something real, not toy exercises.
It’s a premium, application-only program. We talk through fit and pricing on the call — apply and you’ll know quickly whether it makes sense for you.
You answer a few short questions, then book a 30-minute call with Harsh (not a sales rep) to see if it’s a fit. No pressure, no script.
// READY WHEN YOU ARE
Build like it’s already the future.
Founders and engineers who want the full lifecycle — not just the tools. Spots are limited and every applicant is reviewed personally.