Why Every Engineering Team Needs an AI-First Development Workflow in 2026
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →GraphQL’s flexibility is its greatest strength and its most dangerous feature. The ability for clients to request exactly the data they need, in whatever shape they want, sounds ideal. In practice, without careful design, it means clients can also request data in shapes that are catastrophically expensive to resolve.
The N+1 query problem is to GraphQL what SQL injection is to web security: a well-known issue that still takes down systems regularly. When resolving a list of items where each item fetches related data individually, you generate N+1 database queries for a request that should require two. DataLoader is the standard solution. Use it everywhere.
Without query depth limits and complexity scoring, a malicious or careless client can craft a query that takes down your API with a single request. Implement complexity limits at the schema level and reject queries that exceed them with a 400, not a 500.
In production, don’t accept arbitrary queries from clients. Use persisted queries — a library of pre-approved query hashes. This eliminates a class of attack surface and gives you the ability to analyze and optimize specific queries. The developer experience hit is minimal; the security and performance benefits are significant.
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →We surveyed 400 engineering teams who made the switch either direction. The results challenge most of what you've read on…
Read →Dotfiles, aliases, and a few overlooked tools that compound into serious productivity gains over time.
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