Overview
Product Information on GitHub Copilot
What is GitHub Copilot?
GitHub Copilot Pricing
Overall experience with GitHub Copilot
“Co-Pilot Simplifies Initial Setup but Misses Security and Best Practice Issues”
“GitHub Copilot is a good first-generation assistant when used as part of a broader AI strategy”
About Company
Company Description
GitHub is a platform where developers, businesses, and organizations collaborate to create and innovate. Offering tools for version control, CI/CD, security, and code review, GitHub helps teams build software efficiently and securely. With GitHub Copilot, developers can leverage AI to receive real-time coding assistance, streamlining their workflows and enabling them to focus on solving complex challenges. The platform supports a wide range of projects, from open source to enterprise, while integrating seamlessly into development processes to foster collaboration and security. As part of Microsoft, GitHub is committed to empowering developers and organizations to bring their ideas to life, working toward the goal of supporting 1 billion developers worldwide.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About GitHub Copilot
Reviewer Insights for: GitHub Copilot
Deciding Factors: GitHub Copilot Vs. Market Average
GitHub Copilot Likes & Dislikes
Easy to set up, easy to get into. Like most Saas companies, the tech stack is quite common: MVC framework in Rails/Django/Spring/Node. Co-Pilot does well at setting up the boilerplate structure to get from 0 to 1 and does a decent job of helping one understand code paths as well.
Read Full ReviewI like that GitHub Copilot just works in my IDE. Without very much config at all, it can understand what I'm working on and help by offering easy-to-accept code suggestions. And if I need more specific help, inline chat helps with that too.
Read Full ReviewBesonders gefällt mir die nahtlose Integration in Visual Studio Code, sowie die qualitativen Vorschläge besonders bei Standardaufgaben und bekannten Frameworks. Das gibt einem sehr viel Zeit zurück, welche man für komplexere Themen aufbringen kann.
Read Full Review
unlike other tools out there, co-pilot did not do a great job at detecting potential security issues and exploits. For example, it failed to call our a SQL injection attack vector when we allowed arbitrary search parameters for a search REST endpoint. It also didn't know about supply chain attacks and known CVE threats with some experimental open source libraries we were testing. although it's good at boilerplate suggestions, we dont have great confidence that it can actually tell the difference between good code and common code. We noticed in our monolithic repo, it was repeating anti-patterns in the way we set up large unit tests rather than suggesting more maintainable, DRY-er ways to approach it altogether.
Read Full ReviewCopilot sometimes gets things wrong, and it can be hard to steer it in the right direction. I wish there was a mechanism to ask for a re-generation of a suggestion rather than having to delete it and add context like comments.
Read Full ReviewAm wenigsten gefällt mir die Unberechenbarkeit bei komplexeren Aufgaben. Aber das ist ja ein Problem, welches nicht nur bei GitHub Copilot vorkommt. Manchmal schlägt der GitHub Copilot Code vor, welcher zwar syntaktisch korrekt ist, aber semantisch völlig danebenliegt.
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Peer Discussions
What Your Peers Are Saying About GitHub Copilot
GitHub Copilot Reviews and Ratings
- DIRECTOR50M-1B USDBankingReview Source
Co-Pilot Simplifies Initial Setup but Misses Security and Best Practice Issues
Github co-pilot was my gateway into AI-assisted development. Co-pilot paved the way for its incumbents. And unfortunately, I found myself gravitating towards the latter for a few different reasons. Overall, great for getting folks who are starting to embrace AI tooling in their workspace, but starts to lose its value over time as one becomes a power user. - IT SERVICEDESK50M-1B USDEnergy and UtilitiesReview Source
GitHub Copilot - Steigert Effektivität und Produktivität, jedoch mit kleinen Schwächen
GitHub Copilot ist für unsere Entwickler/innen wie ein zusätzlicher Kollege geworden. Wie ein Kollege der nicht schläft und immer einen Vorschlag parat hat. Die Gesamterfahrung ist überwiegend positiv. Er beschleunigt die Arbeit, bei kniffligen Problemen bekommt man Inspiration und repetitive Aufgaben können effizient gelöst werden. - SENIOR SOFTWARE ENGINEER10B+ USDManufacturingReview Source
Github Copilot Agent Mode Enhances Workflow But Needs Multi-Agent Configuration
Github Copilot is a great tool that optimizes my daily work, automatizing tedious tasks and helping in some of the developments. Despite LLMs has still room for improvement and will require much more context to be able to work in large projects properly, we have take advantage of github copilot, especially the agent mode. - IT ASSOCIATE50M-1B USDEnergy and UtilitiesReview Source
Github Copilot Enhances Code Review But Struggles With Persistent Reasoning Errors
Github Copilot is a very interesting tool that has been gradually improving its performance. It has integration in the IDE causing a big shift left in development. The feedback that it gives on a pull request is top notch. However, it is not without downsides, it tends to get stuck in its reasoning even though it is clearly wrong. - DEVELOPER FOR WEBMETHODS, MS POWERPLATFO50M-1B USDIT ServicesReview Source
Saves Time on Repetitive Code, Though Occasional Inaccuracies Need Attention
I've been using GitHub Copilot for over a year, mostly in Visual Studio Code for day-to-day coding. For me, it's very useful for writing standard functions and handling small repetitive stuff really well. It feels like using autocomplete on steroids. Although it doesn't always get it right, it usually gives me a decent starting point. That said, I still make sure to review every suggestion carefully, especially in more complex or security-sensitive parts of the code.