Over the last year, we've engaged in extensive discussions with developers, engineering leaders, and executives from organizations worth hundreds of billions of dollars about using GenAI in the SDLC. A common theme emerged: the importance of GenAI Code Transparency – knowing how much code in a codebase originated from a GenAI tool. In our latest blog post, we explore nine reasons why developers and organizations care about GenAI Code Transparency. The top reason? Investor-backed companies expect to have to explain their use of GenAI in future technical due diligences—just like they do today for Open Source usage. Read the full blog post to learn more about each reason and how GenAI Code Transparency can benefit your organization. Read more here: https://lnkd.in/dyApKkiD
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Here are the nine reasons users and stakeholders have told us why they care about how much GenAI is in their codebase, i.e. GenAI Code Transparency. The most common reason: PE-backed companies, and companies who wish to take on later-stage investment or exit, expect to be diligenced on their GenAI code usage. It's just like they are diligenced on Open Source. And they want to stay ahead of any surprises.
Over the last year, we've engaged in extensive discussions with developers, engineering leaders, and executives from organizations worth hundreds of billions of dollars about using GenAI in the SDLC. A common theme emerged: the importance of GenAI Code Transparency – knowing how much code in a codebase originated from a GenAI tool. In our latest blog post, we explore nine reasons why developers and organizations care about GenAI Code Transparency. The top reason? Investor-backed companies expect to have to explain their use of GenAI in future technical due diligences—just like they do today for Open Source usage. Read the full blog post to learn more about each reason and how GenAI Code Transparency can benefit your organization. Read more here: https://lnkd.in/dyApKkiD
Nine Reasons why GenAI Code Transparency Matters | Sema
semasoftware.com
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Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack We dive into a winning Docker AI/ML Hackathon submission, Code Explorer, which might spark project ideas for you. Read mode on following blog post!
Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack
https://www.docker.com
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Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack We dive into a winning Docker AI/ML Hackathon submission, Code Explorer, which might spark project ideas for you. Read mode on following blog post!
Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack
https://www.docker.com
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Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack We dive into a winning Docker AI/ML Hackathon submission, Code Explorer, which might spark project ideas for you. Read mode on following blog post!
Build Your Own AI-Driven Code Analysis Chatbot for Developers with the GenAI Stack
https://www.docker.com
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This episode of DOS Won’t Hunt saw Matt Bishop, principal architect at Bitwarden; Artem Kroupenev, vice president of strategy at Augury; Matias Madou, Secure Code Warrior’s CTO and co-founder; and Joel Carusone, senior vice president of data and AI at NinjaOne, come together. They discussed the use of AI in software development, its benefits and risks, and how developers want AI to be implemented in the cycle.
Have We Gone Too Far With AI in Software Development?
informationweek.com
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My Latest Article on Mastering Automated Code Reviews with GenAI. #codereview #genai #bestpractices #automation #article #articlewriting #techblog #pov
Mastering Automated Code Reviews with GenAI: A Guide to Next-Generation Software Excellence
link.medium.com
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Hosted a great Webinar session yesterday with Modern Requirements showcasing the powerful capabilities of Codeless ONE. Check out the recording below:
Webinar hosted by Modern Requirements' on its latest AI Powered No-Code Platform - Codeless ONE exceeded all expectations! 🚀 A huge thank you to everyone who joined us. Your engagement and enthusiasm made the event truly special. We explored the groundbreaking capabilities of Codeless ONE and how it's set to revolutionize the way we approach software application development with AI and no-code. For those who couldn't make it, don't worry! Here's the recording of the webinar https://lnkd.in/gQndyKYM
Webinar - Modern Requirements' latest AI Powered No-Code Platform
codelessone.com
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For #businessapplications the future is #AI and #nocode! 💼 🧠 💻 Check out the webinar below for cutting edge insights into no code platforms 👇
Webinar hosted by Modern Requirements' on its latest AI Powered No-Code Platform - Codeless ONE exceeded all expectations! 🚀 A huge thank you to everyone who joined us. Your engagement and enthusiasm made the event truly special. We explored the groundbreaking capabilities of Codeless ONE and how it's set to revolutionize the way we approach software application development with AI and no-code. For those who couldn't make it, don't worry! Here's the recording of the webinar https://lnkd.in/gQndyKYM
Webinar - Modern Requirements' latest AI Powered No-Code Platform
codelessone.com
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Take ur mind off all that election noise!! Are you working on AI - uh - who isn't right :D ? Accelerate & make it easier for your team with this latest release - take 2 secs to check out their tutorial & u may just become the latest hero!
AI coding agents still suck at navigating big codebases reliably. The core issue is that all the existing code navigation tools (which are very good) are built for use in a graphical code editor, making it very hard to expose these tools to AI agents. We just launched an open-source dev container that exposes a simple API for code navigation. Check out our tutorial and leave us a star on github!
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AI coding agents still suck at navigating big codebases reliably. The core issue is that all the existing code navigation tools (which are very good) are built for use in a graphical code editor, making it very hard to expose these tools to AI agents. We just launched an open-source dev container that exposes a simple API for code navigation. Check out our tutorial and leave us a star on github!
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