Writing
GQLens Blog
Practical writing on GraphQL at scale, MCP, and AI-assisted developer tooling, from the team building GQLens.
- ·7 min read·Krister Johansson
How we rebuilt the GQLens AI agent: fewer tokens, fewer hallucinations, fewer steps
The architectural changes behind the GQLens v2 agent. Why we deleted the subagent layer, why build+validate is now a single tool, and what the new system prompt teaches the model about your schema.
ai-agentsgraphqlprompt-engineeringai-sdkdeveloper-experience - ·5 min read·Krister Johansson
What is MCP, and why GraphQL needs it
A practical explanation of the Model Context Protocol for GraphQL teams. What problem it solves, how GQLens uses it, and the three patterns that actually make AI agents write correct queries.
mcpgraphqlaideveloper-experience - ·5 min read·Krister Johansson
GraphQL schema search for AI agents, a practical guide
How to build semantic search over a GraphQL schema so AI agents write correct queries the first time. Chunking strategies, embedding choices, and what we learned running this on 300+ production graphs.
graphqlvector-searchembeddingsai-agentsqdrant