Segundo Hogar

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Introducción:
Segundo Hogar, impulsado por IA, automatiza las migraciones de código para los desarrolladores.
Añadido el:
May 28 2023
Visitantes mensuales:
--
Social & Email:
293 users
Segundo Hogar Información del producto

¿Qué es Segundo Hogar?

Segundo Hogar es una plataforma diseñada para ayudar a los desarrolladores a automatizar las migraciones de código. Utiliza agentes impulsados por IA para migrar y mejorar bases de código, proporcionando a los desarrolladores una solución fluida y eficiente.

¿Cómo usar Segundo Hogar?

Para usar Segundo Hogar, los desarrolladores pueden registrarse en una cuenta y acceder a la plataforma. Luego, pueden seleccionar entre una variedad de módulos que se adaptan a migraciones de código específicas, como migrar de AngularJS a React o actualizar una aplicación Next.js. Con agentes resistentes a las desviaciones rápidas, los desarrolladores pueden garantizar migraciones precisas sin los problemas comunes que enfrentan los agentes de IA genéricos. Las agentes de Segundo Hogar interactúan con los desarrolladores a través de solicitudes de extracción de GitHub, Bitbucket o Gitlab, lo que permite una toma de decisiones colaborativa. Los desarrolladores tienen control total sobre cuándo se fusionan los cambios. Las agentes de Segundo Hogar también son altamente seguras, funcionando tanto en la nube como en la VPC del desarrollador.

Características principales de Segundo Hogar

Migraciones de código automatizadas

Agentes impulsados por IA

Resistencia a las desviaciones rápidas

Experiencia en marcos y bibliotecas modernos

Integración con GitHub, Bitbucket y Gitlab

Opciones de implementación flexibles y sin estado

Casos de uso de Segundo Hogar

#1

Migrar una aplicación AngularJS a React

#2

Migrar una aplicación Create React (CRA) a Next.js

#3

Actualizar una aplicación Next.js a una nueva versión

#4

Migrar JavaScript a TypeScript

#5

Migrar CSS a SCSS (Sass)

FAQ de Segundo Hogar

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Analítica de Segundo Hogar

Segundo Hogar Análisis del tráfico del sitio web

Tráfico más reciente

Visitas mensuales
--
Duración media de la visita
00:00:00
Páginas por visita
1.75
Tasa de rebote
28.23%
Feb 2023 - Mar 2025 Todo el tráfico

Tráfico geográfico

Top 1 Regiones

India
100.00%
Feb 2023 - Mar 2025 Sólo dispositivos de sobremesa

Fuentes de tráfico

Búsqueda orgánica
49.37%
Directo
33.80%
Referidos
13.27%
Social
2.31%
Display Ads
1.19%
Correo
0.06%
Feb 2023 - Mar 2025 Sólo dispositivos de sobremesa

Segundo Hogar Análisis de usuarios de Discord

Latest user counts

293
(-2)

Escucha en redes sociales

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YouTube
Tiktok
1:16:28

Automate to Innovate: How AI is Reshaping Software Engineering

In this insightful episode, I, Stewart Alsop, sit down with Eric Rowell to explore the transformative impact of artificial intelligence on software development. We discuss the automation of mundane tasks, the dichotomy of experiences at startups versus large tech companies, and the role of AI in enhancing the educational process for aspiring developers. Eric also shares his thoughts on the future of software development, emphasizing the shift toward AI-driven code generation and management. For further insights and resources, you can visit the Second's Website linked here (https://www.second.dev/) and his Twitter: (https://twitter.com/ericdrowell) Check out this GPT we trained on the conversation: https://chatgpt.com/g/g-r8n1oBBo3-crazy-wisdom-companion-eric-rowell Timestamps 00:00 - Introduction and overview of AI's role in software development, focusing on automating mundane engineering tasks. 05:00 - Discussion on career paths in tech, contrasting experiences in large companies vs startups, and the financial aspects of working in the Bay Area. 10:00 - The impact of AI on learning to code, emphasizing the right and wrong ways to use AI in software development education. 15:00 - Automation of grunt work in software development, its necessity due to mundane tasks overwhelming creative processes. 20:00 - Challenges in managing human engineers compared to AI agents, highlighting the complexity of human management. 25:00 - The changing landscape for engineers in an AI-driven industry, encouraging self-assessment and potential career pivots. 30:00 - Issues with testing practices in software development, the persistence of outdated and inefficient testing methods. 35:00 - AI's potential to revolutionize knowledge bases and information management, eliminating traditional data storage systems. 40:00 - Future changes in user interfaces and software interaction, moving towards more efficient, AI-mediated formats. 45:00 - Considerations on AI and robotics in daily life and their implications for both utility and societal acceptance. 50:00 - The role of AI in code generation, discussing the complexities and challenges compared to other forms of AI application. 55:00 - The gap between hype and practical application in AI-driven code generation, stressing the importance of detailed, context-aware systems in software development. 60:00 - The philosophical and practical shifts necessary as software development becomes more intertwined with AI, affecting all levels from individual coders to large enterprises. Key Insights Automation's Role in Software Development: Eric Rowell highlights the significant role of AI in automating mundane tasks within software development. This automation is crucial for freeing up creative energies and innovation, allowing developers to focus on more complex and engaging tasks rather than getting bogged down by repetitive work. Career Paths in Tech: The conversation sheds light on the differing experiences between working in large corporations versus startups. Eric discusses the unique benefits and challenges of each, suggesting that early-career exposure to both environments can be highly beneficial for personal and professional growth, despite the stark contrast in day-to-day responsibilities and compensation structures. Educational Impact of AI: AI is changing how individuals learn to code, making the barrier to entry lower than ever. Eric emphasizes the correct versus incorrect ways to utilize AI in learning, pointing out that while AI can provide answers and solutions, the real educational value comes from using it to understand underlying principles and asking the right questions. The Future of Software Development: Looking ahead, Eric predicts a significant reduction in the need for traditional software engineering roles as AI takes over more of the routine coding tasks. This shift is likened to the changes seen during the Industrial Revolution, where automation led to major shifts in job roles and functions. Management of AI vs. Humans: Managing AI agents presents different challenges and benefits compared to managing human teams. AI agents can be adjusted and optimized directly through code modifications without the interpersonal complexities involved in human management, making the process more straightforward and measurable. Implications of AI on Testing Practices: Testing in software development is often tedious and is frequently neglected or improperly implemented due to resource constraints. Eric discusses how AI could revolutionize this aspect of development by automating test creation and maintenance, thus ensuring higher quality and reliability in software products.

Crazy Wisdom
May 13 2024
81
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