Modern cloud-native systems often fall victim to their own scale. A single misconfigured deployment or localized infrastructure degradation can quickly cascade across an entire distributed system, compromising the service for all users simultaneously. When architectural boundaries fail to contain faults, engineering teams face catastrophic service level agreement breaches and prolonged recovery ti
🎓 Contexto acadêmico Universidade de Marília Disciplina: Projeto de Vida e Soft Skils Professor: Gustavo Comassi Autora: Jhenifer Gonçalves Januário Marília - SP | 2026 Com a evolução das aplicações para arquiteturas distribuídas, especialmente com o uso de microserviços, os sistemas deixaram de ser centralizados e passaram a ser compostos por diversos serviços independentes. Cada ser
If you've tried to follow any AI coding discussion in the last six months, you've probably felt like everyone suddenly started speaking a dialect you never signed up to learn. "Vibe coding." "Agentic workflows." "Context windows." "Prompt engineering." The jargon is multiplying faster than JavaScript frameworks, and that's saying something. Matt Pocock — who you might know from his TypeScript educ
GitHub Copilot just got a lot more complicated — and not in a good way. If you tried to sign up for Copilot Pro recently and hit a wall, that's not a bug. GitHub quietly paused new sign-ups for Copilot Pro, Pro+, and Student plans starting in late April 2026. No end date announced. No workaround offered. Just a message and a door that won't open. That alone would be worth covering. But they made t
Imagine you run a bustling coffee shop. In the beginning, you take orders, make the coffee, and serve pastries all by yourself. It works perfectly when you have a handful of customers. But as the crowd grows, you become the single point of failure. If you are stuck making a complex latte, the simple drip coffee line grinds to a halt. In software engineering, this "one-person shop" represents a mon
Anthropic now ships at least three different memory models inside the Claude product family, and they don't behave the same way. Claude.ai has a chat memory feature for Pro, Max, Team, and Enterprise users that summarizes prior conversations and injects that summary into new chats. Claude Code has CLAUDE.md files plus a separate "auto memory" directory the model writes to itself, both loaded at se