Tag: java
All the articles with the tag "java".
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Deployment and configuration best practices for AI-powered Spring Boot apps
Shipping an AI feature involves more than the code: API key management, environment-specific model routing, database schema for vector storage, feature flags for safe rollouts, and a pre-deploy checklist. This post covers the production-readiness concerns specific to AI applications.
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Error handling for AI apps — rate limits, timeouts, and fallback strategies
LLM API calls fail in ways that normal service calls don't — rate limits, content policy rejections, context window overflows, and intermittent 503s. This post covers the error types, retry strategies, timeout configuration, and graceful fallbacks for production resilience.
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Safety and guardrails for AI apps — protecting users and your system
AI applications face threats that traditional APIs do not — prompt injection, jailbreaks, off-topic responses, and toxic content generation. This post covers the practical guardrails every production AI application needs on both input and output.
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Testing AI features — how do you test something non-deterministic?
LLM outputs vary on every call. You cannot assert exact strings. But you can test structure, facts, boundaries, and behaviour — with the right strategies. This post covers unit tests with mocked models, integration tests with real calls, and evaluation harnesses for answer quality.
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Controlling AI costs in production — token budgets, caching, and model selection
LLM API costs scale directly with token volume. A busy support assistant can easily spend hundreds of dollars per day if left unmanaged. This post covers the practical techniques that meaningfully reduce costs without sacrificing answer quality.