Gemini API pricing for reliable Live assistants
A production-focused guide to estimating Gemini Live costs while designing voice assistants that handle barge-in, tools, state, failures, and privacy responsibly.
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How React Teams Keep AI Interfaces Usable on Slow Networks
A practical slow-network testing strategy for React teams reviewing AI-generated UI code before unreliable connectivity turns into broken user workflows.
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How mutation testing exposes weak AI-generated tests
AI-generated tests can raise coverage while still approving broken behavior. Mutation testing offers a focused way to measure whether those tests detect realistic defects.
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Designing Java circuit breakers for LLM tool calls
A practical reliability design for Java teams building AI-assisted workflows around slow, failing, or side-effecting tools.
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How Engineering Teams Can Prove Their AI Coding Guardrails Actually Run
AI coding guardrails matter only when teams can show they ran, evaluated relevant inputs, and enforced failures. Learn a practical evidence-and-drills pattern for Java and React delivery pipelines.
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A Zero-Downtime Migration Playbook for Internal MCP Servers on SDK 2.x
A practical rollout playbook for platform teams moving internal MCP servers to SDK 2.x while keeping existing AI-agent consumers working.
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Before You Automate Server Setup: A Cloud Image Validation Checklist
Cloud images are intentionally minimal, making undocumented host assumptions a deployment risk. Use this checklist to validate a cloud baseline before automating Spring Boot and internal AI services.
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Cut Java and React CI Build Times with Docker BuildKit Registry Cache
A practical guide to persisting Docker BuildKit layers in a registry so disposable CI runners can reuse dependency and build layers for Spring Boot and React projects.
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How Platform Teams Introduce MCP Tool Contracts Without Breaking Clients
Internal MCP tools become dependable when platform teams treat their names, schemas, permissions, failures, and behavior as versioned contracts. This guide explains a practical testing approach for Java teams and...
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Repository Memory for AI Coding Agents: Instructions, ADRs, and Tests
AI coding agent repository memory should be versioned with the code: instructions define how to work, ADRs preserve architectural rationale, and tests enforce behavior and boundaries.
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