Tessl

"80% of the value is in codifying 20% of the assumptions." -- My favourite quote from the great episode with Guy Podjarny and Armon Dadgar, co-founder at HashiCorp. The important part is working out what the important requirements of your configuration and applications are, to ensure those are the bits you provide detail on. Most of the rest can be filled in by AI. 👉 Full Episode: https://bit.ly/3TWJaDR 🍎 Apple Podcasts: https://apple.co/4h1w3v0 🎙 Spotify: https://spoti.fi/4ezynrz

Are you excited about AI’s potential to transform development? Have views about how it should or shouldn’t happen, or an experience to share? Come tell the world about it! Happy to announce AI Native Dev Con, a virtual conference about AI-powered development today and tomorrow, taking place on November 21st. The CFP is now open, and you can also register to save your spot here: https://bit.ly/3ZUtMM6 The focus of the conference is two-fold; we want to help you use AI to develop faster and better today by highlighting exciting tools and advancements in AI-powered software development. In addition, we want to explore long term perspectives on how AI is reshaping the way we build, maintain and evolve software - what will become AI Native Development. If you’ve been thinking about AI and development deeply, have embraced AI dev tools well beyond the simple code completion, or are building something exciting in this space, we want to hear from you! If you’re just curious about this space, go ahead and register to be part of this inaugural AI Native Dev conference. Easy access to the links: 👉 CFP/Registration: https://bit.ly/3ZUtMM6 🖊 Blog with more information: https://bit.ly/4h0tXfd #AINative #AINativeDevelopment #AI #AINativeDevCon #CoPilot

It was really fun hanging out with you Simon Maple and the team at Tessl! Thanks for the insightful conversations on the future of AI-native software development. Everyone, please follow Tessl and check out their podcast—there are some truly powerful insights!

Here’s an easy question: Do LLMs make software more secure? I tried to tackle this question with Caleb Sima, ex CISO at Robinhood & Databricks and AI security leader, and loved the resulting conversation. Here are some of the topics topics and questions we covered: - Can AI coding assistants automate secure code generation and vulnerability detection effectively, or do they still require human oversight? - How do we address the non-determinism of AI powered vulnerability detection, especially when identical prompts can yield different results? - What challenges exist in training AI models on secure code, and how can we improve AI's ability to consistently generate secure code? - Can a multi-layered approach to AI security, including static analysis, LLM-powered tools, and prompt firewalls, better protect us against new threats that AI introduces? Full links to the episode are in the comments. #AISecurity #AINativeDev #AINativeDevelopment #AppSec #CalebSima

Great post from our founder, Guy Podjarny, on how to evaluate an AI solution based on the change and trust required to use and gain value from a tool or solution. Well worth a read!

The latest episode of The AI Native Dev is out, with Simon Maple chatting with Omer Rosenbaum, CTO and co-founder of Swimm. A great hands-on, live demo of how AI can assist you to keep your documentation front of mind, up-to-date, and accurate.

Had a really insightful discussion around where AI meets documentation with Omer Rosenbaum, CTO and Co-founder at Swimm. We covered a wide range of topics around the need for documentation, why drift occurs between code and docs, why devs avoid writing docs and much more! Here are some of the questions we discussed: * Is it possible for AI to fully automate documentation creation, or will human input always be necessary? * How does the balance between static analysis and AI impact the quality and accuracy of code documentation? * How can organizations ensure that documentation, especially for legacy codebases, remains a reliable source of truth amidst constant code changes? #AIDocumentation #AINative #AINativeDev #AINativeSoftware #Swimm #OmerRosenbaum And one of my favourite quotes of the session:

AI assistants are evolving, but there's still a leap to make before we could even start thinking about them as autonomous junior developers. Right now, they need a developer's hands on the keyboard! #AINative #AIJuniorDeveloper #AIDevelopment

The AI Code space is rushing to index your codebase - but is that really better? A common initial experience for Fin customers is to find Fin echoes their knowledge base very well - but their knowledge base is painfully out of date.

In today's dev world, AI isn't taking our tasks, it is assisting - Developers are still at the helm, with tools like code completion and side-by-side chats enhancing their workflow. #AIDevelopment! #AINative #AINativeDev