Artificial Intelligence (AI) is a rapidly evolving field that focuses on creating systems capable of performing tasks that typically require human intelligence. This includes understanding natural language, recognizing patterns, and making decisions. AI technologies are increasingly integrated into various applications, from voice agents that can hold conversations to advanced data analysis tools. As AI continues to develop, it raises important questions about its impact on society, ethics, and the future of work. Understanding the fundamentals of AI and its applications is essential for navigating the complexities of this transformative technology.
What It Takes to Build a Voice Agent That Can Hold a Phone Call
Hearing, waiting, answering fast and knowing when to stop: the parts of a voice agent that make a call feel natural Diagram by the author, Juan Sebastian Peña Donneys, designed in Figma. Talking to a...
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Meet Jev: The AI Model That Doesn’t Write a Single Word
How “System 1” AI makes fast, calibrated decisions that LLMs can’t Continue reading on Towards AI
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How ClassLoaders Works in Java?
A popular Java Interview Question from Investment Banks Continue reading on Javarevisited
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How to Stop an AI Agent From Giving Away Your Money in a Negotiation
A voice agent that negotiates freight rates, ten scripted attacks, and the difference between “never crossed the limit” and “never gave the limit away” Screenshot by the author, Juan Sebastian Peña D...
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EP228: How SSH Works
Secure shell is a method to access a remote machine securely over an unsecured network. It starts with a TCP connection from the SSH client to the remote machine (SSH server).
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Build a Jev-Supervised AI Agent
Typed decisions, guarded tools, and a measured comparison with LLM supervisors
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Make Your AI Agent Ask Before It Answers
AI agents guess when a question is vague. Two things help: write down your rules first, then add a separate check that asks. Continue reading on Towards AI
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11 Beginner Tips for Learning Python Programming
Python tips for beginners: the learning strategies and habits that take you from your first script to code you're proud of.
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The Paranoid Agent: Unleashing Chaos Monkey on a LangGraph4j State Graph
Every agent looks great when the mock API responds in 100 milliseconds and the demo run is scripted. Continue reading on Towards AI
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The Python You Learned Isn’t the Python You Need Today
The language, tooling, and ecosystem have changed — here’s what modern Python developers need to know now. Continue reading on Python in Plain English
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Transparent AI UX: 7 Rules for Designing AI People Actually Trust
Most people use AI answers without checking them, yet less than half say they trust AI. That gap is a design problem. Here is how to close… Continue reading on Towards AI
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5 Claude Code Mistakes That Made My Coding Slower
I started using Claude Code to save time. Then I realized I was sometimes creating more work for myself. Continue reading on Python in Plain English
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