MCP

Augment Code Measured Our Thesis for Us, Then Stopped One Step Short

When Augment exposed its context engine over MCP in February 2026, Claude Code on Opus 4.5 gained around 80% on quality and Cursor gained around 71%, with code completeness up 60% and correctness improved fivefold. Somebody else measured that, on somebody else's product, and it is the strongest evidence anyone has produced that context architecture matters more than model selection. Here is where our architecture diverges from theirs.

The Categories Anthropic Didn't Try to Eat

Anthropic shipped Claude Code, an MCP standard, and a frontier model, and then they deliberately stopped. This post maps the 5 adjacent categories Anthropic chose not to build, why they made that choice, and what it means for anyone building infrastructure underneath their agents.

The Code Context Landscape — Every Major Approach Compared to ByteBell

A comprehensive map of the open source tools providing context to AI coding agents in 2026, grouped by underlying technical approach (vector embeddings, AST parsing, compiler indexers, and LLM-generated metadata), with an honest analysis of where each one wins and where ByteBell's cross-repo, on-prem, business-context graph is the right answer.

Will Anthropic Build a ByteBell? The Startup Kill List and Why the Context Layer Is Different.

Anthropic has erased $1 trillion in SaaS market cap by absorbing entire product categories — Cowork ate project management, Design ate prototyping, Managed Agents ate orchestration. So why won't they build ByteBell? Because a model-agnostic, self-hosted knowledge graph directly conflicts with their business model. Here is the full kill list and the honest probability analysis.