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Blog Ivan Chen Blog Ivan Chen

AI Made Me 10x Faster—Here's What I Had to Change

After years of experience across the software engineering spectrum, I saw firsthand how AI tools can boost code output by ten-fold—but only if you rethink how you work. AI doesn’t replace human expertise; it shifts our role from writing every line of code to defining requirements, guiding AI, and rigorously reviewing results. To truly benefit from this acceleration, teams must upgrade not just tools but their entire development systems—improving testing environments, CI/CD processes, communication, and quality checks—so speed doesn’t come at the cost of stability.

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Blog Pablo Orozco Blog Pablo Orozco

Optimizing Agentic Task Predictability

AI works best when it’s predictable. This post explores how breaking complex tasks into clear phases—with checkpoints for review—turns AI from a black box into a reliable collaborator. If you want agentic workflows you can actually trust, it starts with how you structure the work.

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Blog Ivan Chen Blog Ivan Chen

Why Your Multi-Agent AI System Is Probably Making Things Worse

While 2025 has been dubbed the 'Year of the Agent,' recent research from UC Berkeley and Google DeepMind reveals a counterintuitive reality: adding more agents or compute often degrades system performance. This deep dive explores why 'scaling up' leads to coordination chaos and error amplification, and why the real path to reliable AI lies in smarter workflow design and strict constraints rather than raw power.

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