context graph

A Code Graph Disintegrates Your Code. A Verifiable IR Preserves It.

A code graph takes a whole, coherent program and shreds it into a bag of symbols and edges. It is genuinely useful, but it is a teardown, and the meaning never survives the pieces. A verifiable intermediate representation is the opposite move. It lifts your code into a higher layer that keeps the intent intact, then checks every change against it. Here is the difference between shredding and preserving, and why it decides everything downstream.

What Verifiable Means for Code Context, and Why GraphRAG Can't Check Code Against Intent

Verifiable is the one word competitors cannot claim. A code graph extracts a shadow of your code and can never tell you whether the code still does what it is supposed to. A verifiable intermediate representation is a derived contract that every change gets checked against. Here is what verifiable actually means, why GraphRAG and vector search can only retrieve, and what continuous verification unlocks.

AST vs Vector vs Graph vs IR: Four Ways to Give an LLM Your Codebase

Every tool that feeds your codebase to an AI coding agent picks one of four representations. AST parsing, vector embeddings, code graphs, or a verifiable intermediate representation. Here is what each one keeps, what each one throws away, and why the first three are features of the fourth.

Spec-Driven Development for Brownfield: Verify Code Against Intent With a Verifiable Code Context Layer

Specs and code drift apart the day after you write the PRD, because they are two separate documents that nobody keeps in sync. A verifiable context layer derives the spec a codebase actually implements and then continuously checks the code against it. Here is how spec-driven development works on a brownfield codebase, and why it needs a verifiable code IR that checks code against intent.

The Context Graph You Can Verify Code Against

Context graph is a term people understand and reach for. But most things called a context graph are one-way extractions you can read and never check anything against. The version worth wanting is the one you can verify code against, and that single requirement is what separates an index from a verifiable code IR. Here is what verification demands, and why it is the only honest test of a context graph.

Code Graph RAG, Explained, and Why a Verifiable IR Is the Next Step Past It

Code graph RAG fixed the biggest flaw in vector search. It follows real edges instead of guessing at similarity. But a graph of symbols is still not a graph of meaning, and it cannot tell you whether a change still does what the system is supposed to do. Here is how code graph RAG actually works, where it stops, and why a verifiable intermediate representation is the layer above it.

From Code Graph to Context Graph: Why a Graph of Symbols Isn't a Graph of Meaning

Everyone building code intelligence ends up at a graph, and then they start calling it a context graph because plain code graph stopped feeling like enough. But adding the word context does not add meaning. A graph of symbols and a graph of meaning are different objects. Here is the line between them, and why crossing it requires a verifiable code IR, not more edges.

Why "Context Graph" Has Become the Most Misunderstood Term in AI Engineering

A technical deep-dive into LLM context management, the computational limits of context windows, and why every AI tool's 'context graph' solution might just be clever marketing around semantic search and RAG.

RAG Powered Developer Copilot that Keeps Hallucinations Under 4%

Build a developer copilot that answers with receipts and stays under 4% hallucination using retrieval augmented generation, structure aware chunking, version aware graphs, and conservative confidence thresholds.