Open Source Developer Makes Case Against Single AI Provider Lock-In

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A developer writing for DEV Community argues that teams building AI-powered products make a costly mistake by committing to a single API provider, drawing parallels to early cloud-era vendor lock-in. The author distinguishes between startup and enterprise AI API needs, noting that budget, compliance, SLA, and payment requirements differ significantly between the two. Using a real-world example, they describe how a developer who built directly on DeepSeek's API faced model lock-in, payment friction, expiring credits, and a single point of failure during a regional outage. The author advocates for owning one's own abstractions through a provider-agnostic routing layer that can support multiple models and swap providers without rewriting integrations. The core recommendation is to choose infrastructure that allows both startup-style flexibility and enterprise-grade controls without requiring separate contracts or codebases.

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