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Alejandro Cantero Jódar

Blog

  • Now Announcing: I’m a Vibe Code Fixer (Yes, Really)

    · AI

    I proudly announce myself as a Vibe Code Fixer, here to clean up AI-generated masterpieces built on pure vibes, broken logic, and blind faith in prompts. (Yes, this is a joke.) Someone has to fix the Lego house.

  • The AI Knowledge Paradox and the Death of Internet Content Creation

    · AI

    AI models need human-created content to learn, yet they’re destroying the very web ecosystem that feeds them. As AI answers replace clicks, creators lose traffic, revenue, and incentive—triggering a feedback loop that threatens both the open internet and the future quality of AI itself.

  • AI, Devs and 2025: When Code Stops Being the Bottleneck

    · AI

    AI can write code faster than we can, so the value of developers is shifting from execution to design and decision-making. The future belongs to those who define boundaries, understand systems, and use AI as a tool rather than a crutch.

  • Claude Code vs. Codex: Limits, Strategies, and the Chinese Alternative

    · Programming

    Anthropic’s new restrictions on Claude Code introduce weekly hour caps even for Pro and Max users, signaling the end of unlimited coding assistants. OpenAI follows a similar path with token rationing, while China’s GLM-4.6 emerges as a low-cost, high-performance alternative attracting developers frustrated by usage limits.

  • The Silent (and Not-So-Silent) Impact of AI on Programming

    · Programming

    From silent autocompletion to powerful AI agents, artificial intelligence is reshaping the daily life of programmers. Explore how these tools are becoming indispensable 'co-pilots,' offering unprecedented efficiency but also presenting a double-edged sword for new developers and propelling a new elite in the field.

  • Lessons from Klarna's AI Implementation Failure

    · AI

    This report analyzes Klarna's challenging experience with AI in customer service, revealing how poorly defined goals and overestimation of AI capabilities can lead to negative results. Learn from their mistakes to inform your AI strategy.