Deep dives into agentic AI, LLM evaluation, synthetic data generation, model selection, and production AI engineering best practices.
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Deep dive into Claude Code hooks — pre and post tool execution hooks that let you enforce linting, run tests automatically, validate changes, and build custom CI-like workflows.
Practical cost optimization strategies for production AI agents — from prompt caching and model routing to token budgets and semantic caching that can cut LLM API costs by 50-80%.
Bosch deploys agentic AI at the edge to cut HVAC energy costs by 35% while improving occupant comfort. Technical breakdown of edge AI architecture.
Every Claude Code slash command explained with usage examples — from /compact for context management to /review for code reviews and /init for project setup.
A comprehensive guide to getting reliable structured JSON output from LLMs, covering native structured output modes, Pydantic validation, retry strategies, and production patterns for building robust data extraction pipelines.
Learn how agentic AI is transforming cybersecurity operations with autonomous threat detection, investigation, and response — reducing dwell time from months to minutes across global security operations.
Meta acquires Manus for $2B to build full-service AI agents. Learn what this means for the agentic AI competitive landscape in 2026.
Breaking down Claude Code's record SWE-bench Verified score — what the benchmark tests, how Claude Code achieves it, and what it means for your day-to-day development.
