Here's how Projexlight meets you where you are.
Start with one layer. Expand when you're ready. Projexlight does what you let it do — nothing more, nothing less.
CTOs, VP Engineering, Director of Engineering
"Everyone's using ChatGPT/Copilot ad-hoc. No governance, no standards, inconsistent output."
Standardize on MCP-compatible AI tools (10+ supported)
Projexlight provides structured context to every AI interaction
Coding standards enforced automatically — no more reviewing AI slop
BYOK/BYOC: use your own keys, your own cloud, your own models
Track AI adoption and ROI through developer leaderboard
Go from 'everyone uses AI differently' to 'AI is part of our engineering process'.
Engineering leads, CTOs with existing codebases
"Your codebase has no tests, no documentation, and devs are afraid to change anything."
Connect your GitHub/GitLab repo
AI extracts features, use cases, entities, and API contracts
Auto-generates BDD test suites for existing functionality
Now you have a safety net — refactor with confidence
Gradually convert to AI-native product structure
Turn your 'nobody touch that code' monolith into a documented, tested, evolvable product.
Engineering managers, tech leads, PMs
"Devs use AI tools individually but there's no consistency, no testing, and no visibility."
Structure your sprint in Projexlight (epics → stories → tasks)
Each task gets AI-generated prompts with full project context
Devs use their preferred CLI tool — code follows your standards
Auto-testing validates every change against acceptance criteria
Leaderboard shows delivery impact, code quality, test coverage per dev
AI makes individual devs faster. Projexlight makes your whole team faster — and accountable.
QA leads, test automation engineers, release managers
"AI makes coding faster, but if testing is still manual and trailing behind, you're just shipping bugs faster. Speed without quality is not real productivity."
Requirements automatically become BDD test scenarios — no manual test case writing
AI generates test datasets: positive flows, negative cases, edge cases, and boundary conditions
API chain tests validate complex workflows end-to-end — login, create, update, verify, cleanup
UI and API tests run in parallel cloud containers — hundreds of tests in minutes, not hours
Dashboards show coverage by feature, pass rates by sprint, and regressions before they reach production
Ship 3x more features with fewer production bugs — without growing your QA team.
Product managers, business analysts, project managers, founders
"Your product vision lives in scattered docs, decks, and meetings. Translating it into something engineering can execute takes weeks of back-and-forth."
Import research — upload pitch decks, market research, ChatGPT conversations, or describe your vision
AI extracts requirements, identifies gaps, and provides industry intelligence and competitive analysis
Get a complete product structure: epics, features, user scenarios, and acceptance criteria — all connected
Refine iteratively with AI — add business rules, edge cases, and non-functional requirements
Hand off sprint-ready backlogs with traceable requirements your engineering team can execute immediately
Cut product planning from weeks to hours. Deliver backlogs developers understand and stakeholders can trace back to business goals.
Founders, solo devs, small startup teams
"You've validated the idea but building takes months and burns runway."
Paste your pitch deck or describe your idea in plain English
AI generates full PRD with user stories, acceptance criteria, and test scenarios
Pick your tech stack (React + Node? Flutter + Python? You choose)
Generate code sprint-by-sprint with AI CLI tools (Cursor, Claude Code, etc.)
Auto-test and deploy — ship to investors in days, not months
Go from 'I have an idea' to 'here's the working app' before your next board meeting.
Your next predictable sprint starts in 5 minutes. No credit card required.