Technical Articles

Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.

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DeepSeek V3: How to Optimize Inference with Mixture of Experts

Understand how DeepSeek V3's MoE architecture works and discover practical strategies to reduce computational load in your own inference systems.

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IA•3 min

Google Vertex AI: How to build autonomous agents for scale

Learn how to orchestrate autonomous agents in Vertex AI using long-term memory and external tools. See how to scale intelligent systems securely.

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IA•2 min

OpenAI Swarm: How to build multi-agent AI systems

Learn how the experimental Swarm framework allows for effective multi-agent orchestration using hand-offs and shared state for complex tasks.

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IA•4 min

Google Gemini Omni 1.2 Flash: what changes for long video

Explore the technical innovations of Google Gemini Omni 1.2 Flash, focusing on long video processing and real-time efficiency for developers.

IAEngenharia•2 min

AI Agents hanging? How to monitor pipeline latency

Learn how to apply distributed tracing to identify bottlenecks in multi-agent systems and understand exactly where your AI pipeline is slowing down.

IABackend•2 min

How to create AI guardrails to filter toxic outputs

Learn how to implement AI guardrails to intercept toxic content before it reaches your users. Secure your app with post-inference verification techniques.

IABackend•1 min

How to integrate Claude 3.5 Sonnet API in your projects

Master the integration of Claude 3.5 Sonnet into your applications. This guide covers authentication, message structuring, and best practices for system prompts.

IABackend•2 min

MCP protocol failing? How to debug JSON-RPC errors and logs

The Model Context Protocol (MCP) connects LLMs to tools, but connection errors are common. Learn to diagnose handshake failures and communication logs.

IAEngenharia•1 min

How to run DeepSeek-R1 locally on Linux with Ollama

Master the local deployment of DeepSeek-R1 using Ollama on Linux. Learn about hardware requirements, model quantization, and offline inference for maximum AI privacy.

IAHardware•2 min

Physical AI: How AI is transforming robots and machines

Discover how Physical AI goes beyond software to enable robots to physically understand and interact with the real world autonomously.

IABackend•2 min

Agent Sandboxing: how to isolate AI agents and secure projects

Learn how to isolate AI agents in controlled sandbox environments to prevent unauthorized access and secure your infrastructure effectively.

IABackend•2 min

Tokenomics: How to reduce AI token costs in development

Learn how to optimize token consumption in your application and reduce API costs without sacrificing AI performance.

IAEngenharia•3 min

Agent Harness: How to build secure AI agent environments

Learn how to build an Agent Harness to isolate, test, and secure your AI agents against unexpected executions and malicious access.