Your Software Delivery Partner for the Last 10 Years.
Your AI Partner for the Next 20.

Build faster with automation, safety and humanity.

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WHAT WE DO

Stride is your software development partner for the age of AI. We’re building AI-enabled products, accelerating modernization projects and reducing cycle times with our very own product.

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FEATURED Case Study

Re-Architecting a Legacy Spaghetti
Codebase

A mid-market FinTech player faced a significant challenge with its legacy Microsoft .NET applications, which were bogged down by over 600 classes, 10,000 code files, and 2,000 database tables. This bloat lead to slow, timing-out functions and halted user interactions, resulting in disrupted sign-ups and payments.



Leveraging our 100x services and toolkit, Stride automated key processes such as dependency visualization and requirements generation. This reduced human effort from 3 days to 3 hours per service, cutting the projected migration time in half and saving our customer at least 12 months of development time.

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87% reduction in time on critical architectural tasks

Latest insights

Agent-to-Agent (A2A) vs. Model Context Protocol (MCP): When to Use Which?

In the rapidly evolving landscape of AI, protocols like Google's Agent-to-Agent (A2A) and Anthropic's Model Context Protocol (MCP) are emerging as key enablers for building sophisticated AI systems. Understanding the differences between these protocols is crucial for making informed decisions about which one best suits your project's needs. This post will break down the core distinctions between A2A and MCP to help you choose the right tool for the job.

How We Built a Clinical AI Agent

Agent workflows have quickly emerged as one of the most compelling frontiers in AI application development—but building them for real-world production use cases is still a nuanced and evolving challenge. At Stride, we recently partnered with a healthcare client to redesign a complex patient-facing workflow using LangGraph, LangChain’s graph-based orchestration framework.

Understanding Claude Code's Approach: Text-Based Tools vs. Editor Integration

Claude Code represents a fascinating approach to AI-assisted development, leveraging powerful language models through command-line tools and file manipulation. However, this architecture creates an interesting trade-off compared to editor-native AI assistants, particularly when it comes to tasks that modern IDEs handle through built-in tooling.

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Software Modernization: A Risky Business.
Learn how AI can help you transform your legacy software from a silent thief of time and budgets into your most strategic asset.

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We’re embracing GenAI technology to solve real-world problems in collaboration with our customers. No tinkering, just results.

-- Francisco Martin, CEO

Eradicating tech debt with Stride 100x AI tools and Docker

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87% reduction in time on critical architectural tasks