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The OpenVisio Blog
Field notes on code maps, knowledge graphs, and giving AI coding agents the context they need — without burning tokens on the whole repo.
- GuideSeptember 4, 20266 min read
AI Codebase Context: A Practical Guide for Better Coding Agents
A coding agent is only as reliable as the context it receives. This practical guide explains what useful repository context contains and how to deliver it efficiently.
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ArchitectureSeptember 3, 20266 min readCodebase Visualization: How to Map a Large Repository
A useful codebase visualization is more than a directory tree. It shows the relationships that explain ownership, execution, risk, and change impact.
Read more- MCPSeptember 2, 20266 min read
Using an MCP Server to Give AI Agents Codebase Context
MCP gives coding agents a standard way to ask external tools for context. A code graph server turns vague repository exploration into precise structural queries.
Read more - EngineeringSeptember 1, 20265 min read
Software Impact Analysis Before a Large Refactor
Refactors fail at the edges: an overlooked caller, serialized field, plugin, or test fixture. Impact analysis makes those edges visible before code changes.
Read more - TeamsAugust 31, 20266 min read
How to Onboard Developers to a Large Codebase Faster
The fastest onboarding does not explain every subsystem. It gives a new developer a reliable map, one end-to-end workflow, and a safe first change.
Read more - Deep diveAugust 27, 20265 min read
Code Knowledge Graph vs. Embeddings: Which Grounds an Agent Better?
Embeddings retrieve by resemblance; a graph retrieves by relationship. For questions like “what breaks if I change this?”, only one of them is answering the real question.
Read more - PlaybookAugust 26, 20265 min read
Five Ways to Cut Your AI Coding Agent’s Token Bill
Token bills balloon because agents re-read the same files to answer overlapping questions. Here are five concrete levers, in rough order of impact.
Read more - FundamentalsAugust 25, 20266 min read
How AI Coding Agents Actually Understand a Codebase
Under the hood, most agents explore a repository the same way a new hire with no map would: open a file, read it, open the next. That’s where the tokens go.
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