<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Automation on SoloSoft</title><link>https://www.solosoft.dev/es/tags/automation/</link><description>Recent content in Automation on SoloSoft</description><generator>Hugo</generator><language>es-es</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/es/tags/automation/index.xml" rel="self" type="application/rss+xml"/><item><title>AutoCut: Edición de Video Automática Impulsada por IA</title><link>https://www.solosoft.dev/es/post/autocut-video-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/es/post/autocut-video-2026/</guid><description>&lt;p&gt;La edición de video es una de las tareas creativas que más tiempo consume, pero la IA está cambiando eso. AutoCut es una herramienta de edición de video de código abierto que aprovecha la IA, especializada en la edición automática de videos de personas hablando y podcasts mediante análisis impulsado por IA.&lt;/p&gt;
&lt;p&gt;Desarrollado por lianghang, AutoCut utiliza reconocimiento de voz, identificación de hablantes y análisis de contenido para automatizar las partes más tediosas del flujo de trabajo de edición de video. Detecta pausas, segmenta contenido por hablante, identifica palabras clave y genera cortes precisos. El resultado es reducir horas de edición a minutos.&lt;/p&gt;</description></item><item><title>AutoResearch: Karpathy's AI-Powered Research Assistant</title><link>https://www.solosoft.dev/es/post/karpathy-autoresearch-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/es/post/karpathy-autoresearch-2026/</guid><description>&lt;p&gt;The scientific research process is notoriously labor-intensive, with literature review, experiment design, and validation consuming months of effort before any novel contribution emerges. &lt;strong&gt;AutoResearch&lt;/strong&gt; (karpathy/autoresearch on GitHub) is Andrej Karpathy&amp;rsquo;s vision for accelerating this process through an AI-powered research assistant that can autonomously read papers, perform computational experiments, and generate actionable research insights.&lt;/p&gt;
&lt;p&gt;Created by one of the most influential figures in modern AI, AutoResearch reflects Karpathy&amp;rsquo;s deep understanding of both the research process and the capabilities of modern language models. The system operates as an autonomous loop: it reads papers in a specified domain, identifies gaps or open questions, designs experiments to address them, writes and executes code, analyzes the results, and synthesizes findings into coherent research narratives.&lt;/p&gt;</description></item><item><title>PR Agent: Revision de Codigo Automatizada con IA</title><link>https://www.solosoft.dev/es/post/pr-agent-code-review-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/es/post/pr-agent-code-review-2026/</guid><description>&lt;p&gt;Code review is one of the most effective quality practices in software engineering — and one of the most bottlenecked. Every team knows they should review every pull request thoroughly, but thorough reviews take time, and time is always scarce. Reviewers rush through changes, miss subtle bugs, approve code they have not fully understood, and the quality benefits of code review erode.&lt;/p&gt;
&lt;p&gt;PR Agent, developed by Qodo (formerly CodiumAI), addresses this with AI-powered automated code review. It analyzes every PR the way a diligent senior engineer would — examining each change for bugs, security issues, performance problems, and code quality concerns — and posts its findings directly on the PR. The goal is not to replace human judgment but to eliminate the mechanical review burden so humans can focus on what requires their expertise.&lt;/p&gt;</description></item></channel></rss>