4 Million Lines in 75 Days
How a 2.3-person team replaced a mission-critical federal integration platform that had failed modernization repeatedly — and shipped to production with 7 bugs, 1 high-impact.
← Back to Case StudiesThe Situation
A mission-critical CMS-wide integration platform built on Java and Software AG WebMethods. 4 million lines of code including a custom proprietary XML language. The system had an immovable license renewal deadline. Previous modernization attempts had failed repeatedly.
The traditional estimate: 18+ months with 20+ engineers. The timeline available: significantly less than that. The license deadline was not negotiable.
The Approach
A core team of 2.3 people (our CEO leading, at a prior engagement) attacked the problem with AI-driven workflows and three purpose-built tools created during the project itself:
Analysis Tool
Automated analysis of the 4M-line codebase — mapping dependencies, identifying dead code, understanding the custom XML language's semantics.
Scaffolding Tool
AI-powered code generation that translated the proprietary integration patterns into modern TypeScript equivalents, maintaining business logic fidelity.
Validation Tool
Automated comparison of legacy and new system behavior across integration scenarios, catching regressions before they reached production.
Approximately 85% of the delivered code was AI-generated, with human review and full test coverage on every line. The AI didn't replace engineering judgment — it amplified a small team's ability to move at a pace that would have been impossible manually.
The Result
Production on Day 75
- 4 million lines of Java/WebMethods/custom XML replaced
- 120K lines of modern TypeScript delivered — a 33:1 code reduction
- 75 working days from start to production deployment
- 7 bugs made it to production, 1 high-impact — on a complete platform replacement
- License deadline met — millions saved in licensing costs
- Zero business disruption — CMS-wide integration platform replaced with no downtime
7 production bugs on a 4-million-line replacement is not just fast. It's precise. For context, industry averages for new software range from 15-50 defects per thousand lines of code. This project delivered 120K lines with 7 defects — 0.06 per thousand lines, roughly 250-800x better than industry average.
By the Numbers
What This Proves
This wasn't a greenfield project where you can pick your architecture. This was a rescue — a mission-critical system that had defeated previous modernization attempts, with a hard deadline, running on a proprietary technology stack that most engineers have never seen.
The lesson: AI-augmented development with senior engineering judgment doesn't just make you faster. It makes previously impossible timelines routine. A 2.3-person team outperformed the 20+ person estimate not by working harder, but by building the right tools and applying AI where it multiplies human capability instead of replacing it.
This project is the direct ancestor of how Intelligrit works today. The tools we built, the workflows we proved, the approach of building custom tooling during the engagement itself — all of this became the foundation of our delivery model.
Note: This work was performed by Intelligrit's CEO at a prior team engagement. The specific agency and system names are withheld per contractual obligations. The numbers and outcomes are factual and verifiable through references.