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Local indexing of trigrams and sparse n-grams speeds up code search for AI agents. Reducing time from 15s to milliseconds in large repositories. More details for developers.
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Learn how does retrieval augmented generation work: RAG reduces AI hallucinations, grounds responses in real data, and transforms LLMs into trustworthy systems. Start now.
Kubernetes architecture explained with examples: understand control plane, worker nodes, Pods, and deployment flow. Learn how clusters work with practical use cases.
Learn how to monitor Kubernetes with Grafana and Prometheus using the kube-prometheus-stack. Step-by-step guide to deploy, connect, and visualize cluster metrics.
Learn what are data structures and why they are important for efficient software. Discover types, real-world impact, and how they shape modern computing.
Master how to negotiate a software developer salary offer with data-driven tactics, psychological strategies, and legal tips. Maximize your total compensation today.
Learn how to implement JWT authentication securely in your web API. This complete guide covers token issuance, validation, best practices, and production security.
Google introduced Gemini Ultra 2.0 with a context of up to 10 million tokens, surpassing GPT-5. Learn about the breakthrough architecture, price of $0.0005, and impact on the AI market. Read the full analysis.
Learn what is a large language model, how AI like ChatGPT works, key capabilities, limitations, and practical uses. Understand LLMs in plain English.
MongoDB vs PostgreSQL when to use each: compare ACID compliance, scalability, schema flexibility, and query power. Choose the right database for your project.
Learn how to deploy LLM in production with this step-by-step guide. Covers model selection, Kubernetes deployment, vLLM, testing, and monitoring for reliable AI systems.