Codificación segura para desarrolladores de IA y Vibe Coders

Aproveche las ganancias de productividad y la innovación de la codificación impulsada por la inteligencia artificial sin aumentar exponencialmente el riesgo de errores ocultos, vulnerabilidades de seguridad y deudas técnicas.

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Upskill on Secure Development in the New World of AI

Secure Code Warrior supports enterprises transitioning into AI-assisted development practices with highly relevant, upskilling initiatives designed to address gaps ranging from a lack of awareness in working with AI and LLMs, to over confidence in AI-generated code being secure, and the emergence of new vulnerabilities associated with AI coding.

Get best-in-class content covering AI/LLM topics for a variety of roles across the SDLC to mitigate risk. From devs and QA to architects and product managers, we’ve got you covered.

Drive Awareness Around Development with AI/LLM

From Prompt Engineering and Data Model Poisoning to Sensitive Information Disclosure and Model Theft, we help developers understand the shortcomings of AI generated code, reinforcing how critical it is to ensure developers maintain focus on data security, model integrity, and ethical considerations.

Stay Up-to-Date When Working with LLMs

Get in-depth details on the OWASP Top 10 for LLM Applications and more. With over 700+ AI, LLM, and MCP conceptual and interactive learning activities, including AI Challenges, Guidelines, Coding Labs, Videos, Walkthroughs, Missions, Quests, and Course Templates – our platform equips developers to stay ahead of the risks introduced by AI coding.

Activities Simulating “Coding with AI Assistants”

Hands-on activities that simulate a pull request. The developer is tasked to validate changes in a simulated environment by accepting or rejecting suggestions to existing code that could be coming from an AI solution or from a coworker leveraging AI coding assistance. This interactive experience helps demonstrate applied knowledge in practice and emphasizes the importance of critical thinking in leveraging AI coding assistance.

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Secure AI coding

Next-Generation Secure Software Development

Mitigate Risk in a World of AI + Developers

With more lines of code being produced faster with less scrutiny, the risk of hidden bugs, security vulnerabilities, and technical debt grows exponentially. This shift makes code review, testing, and secure coding practices more critical than ever, ensuring that speed doesn’t come at the cost of reliability and security. Upskilling developers is the first step to getting better outcomes in an environment where tools like Github Copilot, Cursor AI, Amazon Q developer and others are being utilized and underscores the need for continued emphasis on secure code education.

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Manage AI Risk with Observability and Governance

Skills initiatives are just the first step to ensuring you are addressing additional risks introduced by AI-assisted coding. SCW Trust Agent™ gives you visibility into the developers working with your code base, and insights into their security skills. You can then configure polices for code repositories to help improve your security posture through proactive governance.

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Measurable Impact Beyond Compliance

Organizations who adopt a proactive approach to secure code best practices that go beyond compliance, see tangible business results. Because the most cost effective way to address vulnerabilities is to prevent them from the start. SCW Trust Score™ provides organizations with a way to measure and benchmark the progress of developers’ security skills over time which are particularly important to track in reference to early adoption of AI-driven coding environments.

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Guide Safer AI Code Generation with Free Security Rules

AI coding tools are fast, but not always secure. Secure Code Warrior’s free AI Security Rules offer simple, lightweight guardrails to help tools like Copilot and Cursor generate safer code by default. Easy to adopt, extend, and drop into your config, no SCW account needed.

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Questions frecuentes

Aspectos destacados importantes sobre la codificación generada por IA

¿Cómo ha afectado la codificación de IA al pensamiento crítico de los desarrolladores?

El desarrollo asistido por IA aumenta drásticamente la velocidad de codificación, lo que lleva a un aumento en el volumen de código escrito. Los desarrolladores ahora pueden generar funciones, módulos o incluso aplicaciones completas en segundos, lo que reduce el tiempo total de desarrollo, pero este aumento de la productividad presenta nuevos desafíos.

Investigación muestra que las personas dan por sentadas las respuestas generadas por la IA, lo que básicamente elimina cualquier proceso de pensamiento crítico para llegar a la respuesta correcta.

¿Qué es la «codificación de vibraciones»?

La IA permite un flujo de trabajo más fluido e intuitivo, denominado recientemente «codificación de vibraciones». Aquí es donde los desarrolladores se centran en la intención de alto nivel más que en la sintaxis.

¿Cómo ha cambiado el desarrollo de software con el uso de la IA?

Los desarrolladores de software modernos utilizan cada vez más los asistentes de codificación basados en IA, como Cursor AI, Windsurf, Amazon Q Developer y GitHub Copilot, para mejorar la productividad, reducir las tareas repetitivas y mejorar la calidad del código. Estas herramientas actúan como programadores de pares inteligentes y ofrecen sugerencias de código y correcciones de errores. La creación de software es cada vez más dinámica y creativa, y las habilidades de un desarrollador deben evolucionar en consecuencia.

Resource Hub

Additional Secure Code Warrior Resources on AI & LLMs

Blog

July 15, 2026

Citizen AI de Secure Code Warrior: Crea una fuerza laboral preparada para la IA

Programa de alfabetización en IA de Secure Code Warrior para empleados que no son desarrolladores.

Conference

Aug 1, 2026

Black Hat USA 26

Secure Code Warrior is exhibiting at Black Hat USA 2026 in Las Vegas. CEO Pieter Danhieux, Chief Customer Officer Fatemah Beydoun, and Chief Product and Technology Officer Alex Bullen will be on-site — reach out to book a meeting.

Case Study

Jan 6, 2026

Kamer van Koophandel Sets the Standard for Developer-Driven Security at Scale

Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

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Jun 23, 2026

Understand how AI is transforming software development—and how security must evolve with it.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.