Technical Articles

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

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IAEngenharia•4 min

From Copilot to Autonomous Agent in Software Engineering: The Evolution of AI Tools

Explore how artificial intelligence in programming evolved from simple code completion assistants to autonomous agents capable of planning, testing, and fixing entire software systems independently.

IADevOps•4 min

Artificial Intelligence Testing Agents in Software Automation

Explore how artificial intelligence testing agents are transforming software automation, moving beyond rigid scripts to understand user interfaces and anticipate system failures.

IAEngenharia•4 min

AI-Generated Code: Who Reviews the Software Built by Agents

The proliferation of code-generating artificial intelligence agents shifts developer effort from writing to meticulous validation. Discover the practical challenges of maintaining quality and security in software largely written by machines.

IAEngenharia•5 min

Cost per Token versus Cost per Task in Artificial Intelligence Development

Learn how to calculate the true financial impact of using artificial intelligence in software projects. Understand the trap of looking only at the price per word and discover how to measure the real cost per delivered value.

IADevOps•6 min

Agent Sandboxing: How to Let AI Execute Tasks Without Giving Unrestricted System Access

Learn how to isolate artificial intelligence environments to securely run code and automation. Explore process isolation strategies and operational risk mitigation in production.

IAEngenharia•4 min

Observability for Artificial Intelligence Agents: Tracking Decisions and Chains of Thought

Learn how to track the unpredictable behavior of artificial intelligence agents in production, decoding reasoning chains, tool calls, and computational costs with modern telemetry tools.

IABackend•4 min

AI Gateway: How to Control Costs, Security, and Access to Multiple AI Models

Learn how deploying an AI Gateway centralizes requests, protects sensitive data, and cuts operational expenses while managing multiple artificial intelligence models in enterprise environments.

IAEngenharia•4 min

Local AI inference: how to run artificial intelligence models without sending data to the cloud

Learn how to run artificial intelligence models directly on your personal computer or private server. Protect sensitive data and eliminate reliance on remote cloud infrastructure.

IAHardware•4 min

AI PCs: How NPUs Are Transforming Local Processing

Explore how computers equipped with Neural Processing Units (NPUs) are revolutionizing everyday performance, enabling artificial intelligence to run locally without relying on cloud servers.

IAArquitetura•5 min

Small Language Models: Why Smaller Models Outperform Large LLMs in Practice

Discover how smaller language models deliver cost efficiency, lower latency, and superior data privacy, transforming how we deploy artificial intelligence in corporate environments and local edge hardware.