Vreko Intelligence Blog

Insights on AI-aware development, Pattern Memory, and making your codebase smarter.

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Codebase Intelligence: The Missing Layer in AI Coding

Your AI coding assistant forgets everything between sessions. Ambient codebase intelligence changes that — learning from every session and delivering what it knows directly into your agent's context.

•By Engineering Team

Latest Posts

Introducing @vreko-oss/sopr-mcp: A Production-Ready MCP Server Framework

How our open-source SOPR MCP library gives you a production-tested MCP server architecture, not just a sample repo.

How to Choose an AI Code Assistant in 2026: Complete Guide

Confused by Cursor, Copilot, Claude, and Windsurf? This guide compares 4 major AI coding tools and reveals the intelligence layer they all miss.

The SOPR Pattern: How We Cut Tool Count by 71% and Tokens by 65%

Service-Oriented Protocol Router (SOPR) is a token-efficient alternative to multi-agent architectures for AI tooling. Here's how we validated it in production at Vreko.

Trust Scores: How to Measure AI Code Quality Automatically

Your AI generates code fast, but how do you know if it's good? Trust Scores provide a 0-100 metric for AI code quality based on pattern adherence and violation history.

The $12k AI Disaster

How one AI mistake cost us $12k and led to build Vreko. A post-mortem on why speed without safety is a liability.