Eval-driven development: Build better AI faster
Vercel introduces eval-driven development as a new approach for testing AI-powered products, addressing the limitations of traditional testing methods with AI's unpredictable nature. This methodology enables faster development cycles and better outcomes when building AI-native applications.
AI changes how we build software. In combination with developers, it creates a positive feedback loop where we can achieve better results faster.
However, traditional testing methods don't work well with AI's unpredictable nature. As we've been building AI products at Vercel, including v0, we've needed a new approach: eval-driven development.
This article explores the ins and outs of evals and their positive impact on AI-native development.
Source: original entry ↗
More from Vercel
Follow Vercel to get its new changes in your feed and email digest.
OpenAI Decisions API now available on AI Gateway
OpenAI's Decisions API is now accessible through Vercel's AI Gateway with an OpenAI-compatible endpoint, enabling decision models to answer typed questions and return probabilities, choices, and scores for routing, triage, and guardrails use cases. Support is available across the OpenAI SDK, AI SDK, HTTP API, and CLI with the latest versions.
Timestamp attributes now supported in Vercel Flags
Vercel Flags now supports timestamp attributes for entities, allowing you to create time-based targeting rules. Use this feature to run limited-time campaigns, show content between specific dates, or target users based on registration date.
Glyph Cluster now available in stealth on AI Gateway
Glyph Cluster, a reasoning model for coding and long-context analysis, is now available as a stealth model on Vercel's AI Gateway for Pro and Enterprise plan teams with purchased AI Gateway credits at no cost during the stealth period. The model supports function calling, streams responses, and can be accessed via AI SDK, OpenAI-compatible APIs, and coding agents.