We've published our detailed technical findings, methodology, and side-by-side comparison:

AI has enormous potential to accelerate legacy modernization, but mission-critical enterprise systems demand more than autonomous agents and code generation. They require rigorous validation, functional equivalence, and proven reliability.

By comparison, Codegiant met all 62 requirements using our purpose-built Kronos LLMs and deterministic modernization system.

After deploying 222 AI agents, Anthropic's plugin failed to successfully convert the COBOL application in our test. It met just 1 of 62 modernization requirements, introduced changes to critical business logic, and reported successful validation despite functional failures.

Our findings revealed significant gaps between AI-generated code and production-ready mainframe modernization.

Following the recent headlines surrounding Anthropic's COBOL modernization capabilities, IBM's stock reaction, and Anthropic's technical webinar, our team at Codegiant conducted an in-depth technical evaluation to assess the claims.

Can AI agents really replace traditional COBOL modernization?

We're also releasing our own SLMs to further reduce costs and improve efficiency. The goal is simple: dramatically reduce the cost and complexity of building software while making it easier to get to production. The video below shows how it works. 👇 youtube.com/watch?v=mayKAsAc…

• 3,000+ connectors • One-click deploys to your infrastructure • Auto docs & API docs • Monitoring, observability & AI-powered ops • Agents inside your perimeter • Swappable migration harnesses • Enterprise migration platform • Production-ready apps, workflows & AI

Most AI platforms stop at the demo. Getting to production is where things get hard. Codegiant:

We are already deployed to large enterprises and it works in production.

Absolutely! Agents in current form are glorified CRON jobs. It's about knowing when to use AI and when to use standard automations, API calls, etc.

Models are great at planning but they don't get to touch the automation layer. We can show you in more detail how it works if you want to chat with our Engineers.

Deploy apps, automations, and agents directly to your infrastructure with one click AWS • GCP • Azure • Oracle • DigitalOcean • and many more

Introducing the Enterprise AI Platform built for real production systems. Build apps, AI agents, and enterprise workflows with the right mix of AI generation, deterministic automation, and thousands of connectors.

PoV: You’re a non-technical founder who vibe-coded the app and now on X: #beyondvibecoding #codegiant

Codegiant is bringing secure, production-ready Vibe Coding to teams. Build real apps. Fast. Safely. Collaboratively. 👀 Coming soon. 💡 If you could build anything just by describing it… what would you start with?

🚀 What is Vibe Coding? A new way to build software: just describe what you want—and let AI handle the rest. No boilerplate. No context switching. Just pure flow. 🧠 Describe your feature 🤖 AI writes the code 🧪 You test, tweak, and ship 🔁 Iterate instantly 👇

Stay in the loop; connect Codegiant with Discord, Slack, or Microsoft Teams. Get real-time updates where your team works best. ✅ 👍 codegiant.io