Start Your Journey to AI-Native Software Development
Four steps to transform your organization into an AI-native software company
Training
Equip your developers with the foundational skills for AI-powered development
Spec-Driven Development
Learn to create clear specifications that AI can understand and implement. Master the art of writing requirements that lead to better code generation.
Agentic Workflows
Understand how to design and implement AI agents that work autonomously within defined boundaries. Build workflows that scale across teams.
AI Development Tools
Master Cursor, Claude Code, Codex, Gemini CLI and other essential AI development tools. Learn their settings, capabilities, and best practices.
Practical Introduction to AI-Assisted Coding
- •Cursor / Claude Code / Codex / Gemini CLI tool as a development tool, and their important settings
- •Spec / document driven AI development
- •Agentic development workflows / agents
- •Tools & developing new tools
- •Intro to AI-friendly software architecture
- •Testing & Reviewing code
Kickstart
AI-power one team and codebase with ModernPath's 4-week transformation program
Documenting the codebase
Build agent driven workflows
Connect with your SWE dev toolset
4-Week Kickstart Program
Week 1: Kickoff
½ day workshop with lead devs / architects to go through and document the codebase
Week 2: Building Specs & Workflows
ModernPath personnel AI-powers your code repository and builds customized agentic workflows for you
Week 3: Team Training
½ day training + optional ½ day hackathon for the developer team
Week 4: Retrospective
Optional: Go through the learnings and experiences with AI-development
Result: +30% Increase in your team productivity
Scale
Take ModernPath platform into use across your entire organization's codebases—from mainframe to modern, legacy to cloud
How ModernPath Platform Works at Scale
From black-box estate to spec-driven, AI-powered delivery—fast. No big-bang rewrite required.
Analyze & document the current architecture
Ingest entire code, docs, APIs, tests, and knowledge bases from all your codebases—mainframe, legacy environments, external systems—to build a living model: domains, dependencies, data paths, forecasts.
Design target architecture(s)
Generate candidate target per-modular boundaries, service contracts, and data ownership across your entire organization—then choose the right path per workload.
Plan tasks & tests with architected specs
Convert business goals into agent-ready specs: annotate plans, interface contracts, and expected functions to automatically check coupling, performance, and resilience on every change—with complete system understanding.
Complete System Understanding
ModernPath platform creates a unified view of your entire organization's architecture—from mainframe codebases to modern microservices, legacy environments to cloud-native applications.
- ✓Multi-layered documentation across all codebases
- ✓Cross-system dependency mapping and visualization
- ✓Living model that stays synchronized with changes
Organization-Wide Task Planning
With complete system understanding, plan new tasks and features across all codebases with full awareness of architectural constraints, dependencies, and impact.
- ✓Task planning with cross-system architectural context
- ✓Impact analysis across entire organization
- ✓Agent-ready specs for all codebases and systems
Master
Master the AI-powered sprint model for 3x velocity and learning at enterprise scale
Ready to Begin Your Journey?
Start your transformation to AI-native development — begin with Step 1: Training.