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Versión gratuita de GitHub Copilot con 2000 compleciones de código por mes para todos los desarrolladores

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github El miércoles, lanzó un nivel gratuito de su chatbot de inteligencia artificial (IA) Copilot. El software Copilot de la plataforma está orientado a tareas relacionadas con la programación y viene con muchos agentes, extensiones y funciones de terceros, como la edición de varios archivos. La versión gratuita del chatbot viene con límites más altos en las tasas de finalización de código y mensajes de chat en comparación con la versión paga. GitHub Copilot Free tampoco incluirá modelos Gemini AI. La plataforma de alojamiento de archivos y codificación propiedad de Microsoft también anunció que alcanzó los 150 millones de usuarios registrados.

GitHub lanza un nivel gratuito de Copilot para desarrolladores

en un Publicación de blogLa plataforma de programación ha anunciado el nivel gratuito de Copilot. Hasta ahora, Copilot sólo estaba disponible con una suscripción paga a partir de 10 dólares (alrededor de 850 rupias), aunque se brindaba acceso gratuito a estudiantes, profesores y mantenedores de código abierto. Este nuevo nivel estará disponible para los 150 millones de desarrolladores registrados.

GitHub Copilot Free se integrará automáticamente en la plataforma Visual Studio Code y brindará acceso a 2000 compleciones de código y 50 mensajes de chat por mes. Lo que hay que tener en cuenta aquí es que cada sugerencia de código realizada por el chatbot se cuenta para su finalización en lugar de solo las sugerencias aceptadas.

A principios de este año, la empresa Anunciar Copilot admite múltiples modelos, lo que permite a los usuarios elegir entre Claude 3.5 Sonnet de Anthropic, Gemini 1.5 Pro de Google, GPT-4o de OpenAI, o1-preview y o1-mini. Sin embargo, con el nivel gratuito de Copilot, los usuarios sólo tendrán acceso a 3.5 Sonnet o GPT-4o.

Aparte de estas limitaciones, los desarrolladores obtendrán acceso completo a todas las demás funciones, agentes de terceros y complementos. Además, GitHub también ha creado Copiloto El chat está disponible directamente desde el panel de la plataforma, que también está disponible con el nivel gratuito.

Con GitHub Copilot, los desarrolladores pueden usar IA para interpretaciones de código, depuración, búsquedas web habilitadas para Bing, solicitudes de extracción, edición de múltiples archivos en VS Code, integración con su propia base de código, código personalizado y más.

GitHub Copilot se lanzó en 2021 y fue la primera plataforma impulsada por inteligencia artificial de Microsoft con la marca Copilot. Se introdujo pocos meses después de que el gigante tecnológico invirtiera en OpenAI y formara una asociación.

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Los proyectos de GitHub están siendo atacados con acciones maliciosas en un aparente intento de atrapar a este investigador.

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  • Se encontraron confirmaciones maliciosas en la cuenta de GitHub de Exo Labs
  • Fueron presentados y remitidos a un investigador de seguridad con sede en Texas.
  • El malware no existe y el investigador afirma que alguien se está haciendo pasar por él

Alguien irrumpió en proyectos de GitHub mediante inyección código maliciosoParece que intenta desacreditar a uno de los investigadores acusándolo de piratería informática.

Los ejecutivos de la startup de inteligencia artificial y aprendizaje automático Exo Labs advirtieron que alguien intentó enviar nuevos cambios al código en el repositorio GitHub de la compañía.

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Esta nueva estrategia de phishing utiliza comentarios de GitHub para distribuir malware

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  • Los repositorios de Github están infectados con malware
  • Los repositorios confiables pueden eludir las puertas de enlace web seguras
  • Los comentarios de Github también se utilizan para ocultar archivos maliciosos.

En una nueva campaña de phishing descubierta por Cofense Intelligence, los actores de amenazas utilizaron un enfoque novedoso al aprovechar repositorios confiables de GitHub para distribuir malware. La campaña tiene como objetivo explotar la confianza inherente que muchas organizaciones depositan en GitHub como plataforma para desarrolladores.

En lugar de crear repositorios maliciosos, los atacantes optaron por incrustar el malware en repositorios legítimos. impuesto Organizaciones como UsTaxes, HMRC e Inland Revenue.

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Millions of secrets and auth keys were leaked on GitHub last year

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Millions of secrets and authentication keys were leaked on GitHub in 2023, with the majority of developers not caring to revoke them even after being notified of the mishap, new research has claimed.

A report from GitGuardian, a project that helps developers secure their software development with automated secrets detection and remediation, claims that in 2023, GitHub users accidentally exposed 12.8 million secrets in more than 3 million public repositories. 

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How to use GitHub Copilot AI coding assistant

How to use GitHub Copilot AI coding assistant

If you’re working with Python or other coding languages to develop applications or the next AI service that is going to transform our lives, you might need extra help but not have the resources to employ additional developers. Do not fear there’s a tool that can help you: GitHub Copilot. This AI-powered coding assistant is designed to enhance your productivity by offering code suggestions, completing functions, and even helping with documentation. Whether you are an experienced developer or a lone coder who is just starting out on their journey. Let’s delve into how you can leverage GitHub Copilot to improve your coding workflow and tackle your coding workflow with ease.

For example if you are working with working with Python to to parse emails for example. Guiding Copilot with specific comments can be incredibly beneficial. For example, a comment such as “# Extract email sender information” can prompt Copilot to provide you with code snippets that are directly relevant to what you’re trying to achieve. This not only saves you time but also ensures that your workflow remains uninterrupted.

It’s also important to define your functions with clarity. By doing so, Copilot can better understand the purpose of your code and offer suggestions that are more pertinent to your task. Say you’re working on a function to parse an email’s subject line; Copilot will recognize this and provide you with code that’s specifically suited for that function.

Using GitHub Copilot for coding and more

Engaging with Copilot directly in your code file can be particularly useful when you’re dealing with a challenging piece of code. The Copilot dialogue feature allows you to request specific code snippets, ensuring that the AI understands the full scope of your coding task. This interaction can lead to more accurate and helpful code suggestions.

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Moreover, the integration of Copilot with Visual Studio Code (VS Code) can significantly enhance your coding experience. This powerful duo not only aids in refining your code but also supports you in generating documentation. With VS Code, executing Copilot commands becomes a breeze, which can make your coding sessions more efficient and reduce the likelihood of errors.

By implementing these strategies, GitHub Copilot transforms from a mere coding tool into a valuable collaborator in your development journey. It’s crafted to assist you in the creation, refinement, and documentation of your Python scripts for email parsing. This allows you to focus on the essential logic and structure of your code. With the backing of Copilot’s AI-driven capabilities, you can approach the complexities of email parsing with greater confidence and productivity.

Email parsing can be a daunting task, especially when you’re trying to extract specific pieces of information from a cluttered inbox. Python developers often face the challenge of writing scripts that can sift through emails effectively. However, with GitHub Copilot, you have a resourceful ally that can make this task much more manageable.

Copilot AI coding assistant

Imagine having an assistant that not only understands your coding intentions but also provides you with real-time suggestions to enhance your work. That’s what GitHub Copilot does. It’s like having a co-pilot in the cockpit of your development environment, someone who’s always ready to offer assistance and ensure you’re on the right track.

One of the key benefits of using GitHub Copilot is its ability to learn from the context you provide. When you’re coding, every comment and function definition you write teaches Copilot about your goals. This learning process enables Copilot to give you code suggestions that are not just generic but tailored to your specific project needs.

For developers who are constantly looking for ways to optimize their workflow, GitHub Copilot presents an opportunity to do just that. It’s not just about writing code faster; it’s about writing smarter code. With Copilot’s suggestions, you can avoid common pitfalls and ensure that your scripts are robust and reliable.

Visual Studio Code

Furthermore, GitHub Copilot’s integration with VS Code is a match made in heaven for developers. VS Code is already a popular choice among programmers for its user-friendly interface and extensive range of features. When combined with Copilot, it becomes an even more powerful tool that can significantly cut down on development time and help you produce high-quality code.

In the world of software development, efficiency and accuracy are paramount. GitHub Copilot helps you achieve both by acting as a virtual coding mentor. Whether you’re a seasoned developer or someone just starting out, Copilot can help you navigate the intricacies of email parsing and other coding challenges with greater ease.

The beauty of GitHub Copilot lies in its simplicity and effectiveness. It’s not about replacing the developer but rather enhancing their capabilities. By providing intelligent code suggestions and helping with documentation, Copilot allows developers to focus on the creative aspects of programming while it takes care of the more mundane tasks.

In essence, GitHub Copilot is a testament to the advancements in AI and its application in software development. It’s a tool that can adapt to your coding style, learn from your patterns, and provide you with the support you need to be more productive. As you continue to work on parsing emails or any other Python project, consider giving GitHub Copilot a try. It could be the perfect co-pilot for your coding journey, helping you to write better code and bring your projects to completion with greater speed and less stress.

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GitHub Copilot AI coding assistant for Visual Studio Code – Beginners Guide

GitHub Copilot coding assistant

If you are learning to code or would like a little assistance on those harder areas of your script or application. You may be considering using Copilot to offer suggestions, helping you navigate complex functions, and even writing chunks of code for you. This isn’t a distant dream—it’s a reality for developers using Visual Studio Code (VS Code), thanks to GitHub Copilot. A cloud-based artificial intelligence tool developed by GitHub now owned by Microsoft and OpenAI to assist users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by providing coding assistance. This AI-powered assistant is designed to make coding more efficient and less daunting, and it’s available right within your favorite coding environment.

For those who spend their days (and sometimes nights) immersed in code, GitHub Copilot is a valuable addition to your toolkit. It’s like having a co-pilot in the cockpit of a plane, but for coding. This tool learns from the vast repositories of code on GitHub and uses that knowledge to provide real-time assistance as you write code in VS Code.

Learn how to use GitHub Copilot

Getting started with GitHub Copilot is straightforward. You’ll need to head over to the Extensions view in VS Code, which you can find by clicking the square icon on the sidebar or by using the shortcut `Ctrl+Shift+X`. Once there, simply search for “GitHub Copilot,” hit ‘Install,’ and you’re ready to take your coding to the next level.

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But before you can fully harness the power of Copilot, you’ll need to connect it to your GitHub account. This step is crucial as it links the AI tool to the vast code libraries it uses to assist you. To do this, click on the accounts icon at the bottom left of VS Code and sign in with your GitHub credentials. Make sure your GitHub account has Copilot access, and you’re all set.

Now that you’re connected, it’s time to tailor Copilot to your specific needs. VS Code allows you to open the settings with `Ctrl+,` or by clicking the gear icon and selecting ‘Settings.’ Here, you can adjust Copilot’s behavior to your liking. Whether you’re working with certain file types or programming languages, you can set up Copilot to offer assistance when and how you need it.

One of the standout features of Copilot is its robust auto-completion capabilities. As you type, Copilot suggests code snippets and constructs that you can use to speed up your workflow. You can fine-tune these suggestions in the settings, controlling how they appear and interact with your coding process. Additionally, you can customize the Copilot chat feature to communicate with the AI in a way that suits your style.

GitHub Copilot pricing

GitHub Copilot pricing

As you delve into your coding tasks, Copilot is right there with you, providing real-time suggestions that you can accept in whole or in part. It can even offer explanations for certain code segments, which is particularly helpful when you’re trying to understand complex functions or generate documentation on the fly.

But Copilot isn’t just about writing code; it also offers contextual help. By right-clicking on a piece of code, you can access menus that explain or document the code you’re working with. This feature is invaluable when you’re trying to decipher intricate code or understand a colleague’s work.

As you continue to use Copilot, you’ll find that it becomes an integral part of your coding routine. It’s not just about the time saved; it’s also about the learning experience. Copilot can introduce you to new coding patterns and best practices, helping you become a better developer.

While this article has covered the basics of getting started with GitHub Copilot in VS Code, there’s much more to explore. In the future, we’ll delve into advanced UI features in VS Code that enhance Copilot’s functionality. These features will offer deeper customization options and further streamline your coding process.

GitHub Copilot is more than just a tool; it’s a companion for developers looking to improve their productivity and code quality. By installing and configuring Copilot as outlined above, you can begin to reap the benefits of AI-assisted coding. And as you become more familiar with its features, you’ll discover even more ways it can help you in your coding endeavors.

So, whether you’re a seasoned developer or someone just starting out, GitHub Copilot in VS Code is worth exploring. It’s an assistant that works tirelessly to help you write better code, faster, and with fewer errors. And as the AI continues to learn and improve, so too will the assistance it provides. Embrace this technology and watch as it transforms the way you code, one suggestion at a time.

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New updates to GitHub Copilot make AI coding assistant even smarter

GitHub Copilot is now even smarter thanks to latest updates

The latest latest updates to Visual Studio Code (VS Code) and GitHub Copilot, have been designed to boost your productivity and make coding feel less like a chore, explains Microsoft. The enhancements to GitHub Copilot are particularly noteworthy. It’s now smarter than ever, providing coding suggestions that are precise and relevant to what you’re trying to achieve. This means that Copilot is getting better at understanding your coding goals and offering recommendations that are in line with your intentions. It’s like having a coding partner that’s learning and growing with you.

With the introduction of a new workspace command in VS Code, searching across your entire project has become a breeze. This feature overcomes previous limitations, allowing you to conduct thorough searches quickly and without leaving your coding environment. It’s a simple yet powerful tool that can save you time when you need to find something fast.

Copilot’s ability to understand the context of your project has also seen a significant boost. It now looks beyond the line of code you’re working on and takes into account the whole project. This results in suggestions that are not just relevant but also coherent with the larger scope of your work.

GitHub Copilot AI updates

The integration of ChatGPT-4 with GitHub Copilot introduces a new level of interaction. You can now talk to Copilot as if it were another developer, making the experience more natural and engaging. This conversational capability can help you articulate your coding challenges and find solutions more effectively.

  • For those repetitive tasks that can be so time-consuming, Copilot now offers assistance in iterating code. Whether you’re adjusting a button for different social media platforms or doing any other repetitive work, Copilot can generate variations to meet your specific needs, potentially saving you hours of manual coding.
  • Copilot has also become more proactive in its suggestions. It can anticipate your coding requirements, from fetching URLs from configuration files to proposing the right CSS styles. This forward-thinking approach means you can stay focused on the bigger picture while Copilot handles the details.
  • You can now ask Copilot context-aware queries that are specific to your project. Need information from a README file? Copilot can pull that data for you, providing insights that are immediately applicable to your work.
  • Troubleshooting errors is a part of every developer’s life, but Copilot’s latest update makes it easier. It now offers solutions based on the output of terminal commands, helping you resolve issues more quickly and with less frustration.
  • A new VS Code extension brings voice command capabilities to the table. You can now interact with Copilot using speech-to-text, which is a boon for developers who prefer to talk through their code or for those who want to code hands-free.
  • Finally, Copilot now helps with the often tedious task of version control documentation. It can auto-generate commit messages and pull request descriptions, ensuring that your documentation is consistent and clear, all while saving you time.

The updates to VS Code and GitHub Copilot are making coding more intuitive and less repetitive. With smarter assistance, streamlined project searches, and enhanced conversational interactions, these tools are helping you focus on what you do best: creating amazing software. These improvements are not just about making your current tasks easier; they’re about empowering you to take on new challenges with confidence. Find out more over on the official GitHub website. Here are some other articles you may find of interest on the subject of Microsoft Copilot AI :

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GitHub Copilot AI for developers potentials and pitfalls

GitHub Copilot AI for developers potentials and pitfalls

At this years Microsoft Ignite 2023 event Scott and Mark from Microsoft provided an interesting session on the potential and pitfalls of AI in development. Imagine having a partner in coding that not only understands what you’re trying to do but also offers up complete lines or chunks of code to make your work flow better.

That’s what GitHub Copilot does. It’s an AI-powered code assistant that’s changing the way programmers do their jobs. This tool is available as an add-on for Visual Studio Code, and it uses OpenAI’s Codex to help you code more efficiently. As you write, Copilot guesses what you need and gives you suggestions that you can quickly add, change, or ignore.

The strength of GitHub Copilot comes from a sophisticated AI model that has learned from a huge number of public code sources. This broad learning allows the tool to understand different programming languages and styles. When you use GitHub Copilot, you’re tapping into the collective knowledge of programmers from all over the world, delivered through an AI that works with you in real time.

GitHub Copilot AI for developers

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GitHub Copilot shows how AI can take your coding productivity to the next level. It makes repetitive tasks, like writing standard code or looking for code snippets, much easier. This lets you focus on the more creative and complex parts of software development. As a result, you could end up with better code and more innovative projects.

AI Coding Assistants

The role of AI in coding is about more than just doing things automatically—it’s about making you better at what you do. GitHub Copilot is a perfect example of how AI can become part of your coding routine without taking over. It’s not there to replace a developer; it’s there to add to your skills. You’re still in full control of your code, with AI acting as a powerful support system.

As AI technology gets better, it’s going to have a bigger impact on software development. GitHub Copilot is just the beginning. We might soon see AI helping with more complex tasks like finding bugs, testing, and planning software architecture. The potential for AI to improve our development skills is huge, and starting to use these tools now could put you ahead in the industry.

GitHub Copilot is a big step forward in how AI is used in software development. By giving you AI-driven code suggestions, it makes your coding work easier and more effective. As you get better at programming, think about how tools like GitHub Copilot can make your workflow better and shape the future of coding. With AI as your ally, there’s no limit to what you can create.

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