Code Knowledge Graphs: Why Open-Source Stacks Stall at Enterprise ScaleTL;DR: Every code knowledge graph demo ends with a visualization. Most of them are syntax trees in a fancy renderer. At enterprise scale, the question isn't "is there a graph" but what's in the nodes,Jun 18 · 10 min readcorestory.hashnode.dev
Polymorphic Agents: Why Language-Aware Intelligence Beats Language-Specific ToolsTL;DR Large production systems are polyglot environments. It is not unnatural to see an enterprise having Java services, Python pipelines, Go APIs, Ruby on Rails frontends, C++ processing engines, SQLJun 4 · 14 min readcorestory.hashnode.dev
COBOL Modernization Tools Compared: IBM ADDI, CAST, Blu Age, and CoreStoryTL;DR COBOL modernization isn't a single-tool problem. It has four distinct phases (understand, extract, migrate, validate) and different tools serve each phase. IBM ADDI and CAST Imaging are built foMay 15 · 11 min readcorestory.hashnode.dev
How to Build a Knowledge Graph from Enterprise Source CodeTL;DR A code knowledge graph transforms a codebase from a collection of text files into a structured, queryable model of how the system actually works. The architecture involves five phases: AST parsiMay 15 · 10 min readcorestory.hashnode.dev
MCP Servers for Codebase Context: How AI Coding Agents Access Code IntelligenceTL;DR Model Context Protocol (MCP) is the open standard for connecting AI agents to external tools and data sources. For software teams, the most valuable MCP server isn’t for Slack or Postgres — it’sMay 15 · 11 min readcorestory.hashnode.dev