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Insights on code modernization and software architecture

by Airy

The Full Modernization Lifecycle Is Live

CodeSplit AI now covers profiling, domain mapping, rebuild contracts, tech debt analysis, dead code cleanup, service extraction, page extraction, framework migration, language conversion, and version upgrades. All live.

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by Airy

Why Modernization Fails Before a Single Line of Code Is Written

Most modernization projects jump straight to rewriting code. The ones that succeed start by understanding what the code actually does. Here's why that order matters.

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by Airy

NEA Thinks Code Modernization Is the Biggest AI Startup Opportunity. Here's What That Means.

A top venture capital firm just published a framework for evaluating AI code modernization startups. Their analysis validates the market and reveals where the real opportunity lives.

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by Airy

Everyone's Talking About Agentic AI for Modernization. Nobody's Shipping Code.

Microsoft, AWS, and vFunction all say agentic AI will transform application modernization. They're right about the problem. But their agents still output dashboards and recommendations, not production-ready code.

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by Airy

Where to Split: Finding Service Boundaries in a Monolith

The hardest part of monolith decomposition isn't the extraction. It's knowing where to cut. Here's how to find real service boundaries in a tangled codebase.

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by Airy

Why We Built CodeSplit AI

The story behind CodeSplit AI: why two engineers who lived the pain of legacy modernization decided to automate it.

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