WiredHive’s Post

🗞️ DevTips Weekly - Issue #2 Programmable CI/CD, Text Classification with Spring AI, 7 Programmers Habits, and Distributed Transaction Management #DevTips #Newsletter

By combining the LLMs and self-learning AI, the solution empowers engineers to create white-box tests 15 times faster than before ... https://lnkd.in/dkgpQ6-6

TLDR is an innovative IDE plugin that leverages the power of AI to provide plain English explanations of code, enabling developers to grasp the functionality and purpose of methods that may not be immediately clear. #CodeAssistantAI #AITool #AI #AIRepoHub

"AI in TDD" Thank you Valentina (Cupać) Jemuović (Cupac) and Laurent P. for this "AI in TDD" top knowledge ! KEY TAKEAWAY: "The design produced by AI was in my mind sometimes ... sometimes OK but AI needed human prompts, AI needed a human who understood good design principles so that when AI did not understand it well - to be able to prompt it. Now, when prompted it with more guidance (by human) - YES, AI was able to improve the design. " - Valentina (Cupac) Jemuovic " AI in TDD Agenda: 1. TDD - Overview of the TDD Cycle (s) 2. AI in TDD - Using AI for the TDD cycle 3. COPILOT DEMO - TDD with Copilot (Java) 1. TDD - Overview of the TDD Cycle (short) RED-GREEN-REFACTOR "... YES, AI was able to reach THE GREEN STATE after iterations (something that avarage developer could also do ... AI is here the most helpful)" "... sometimes when I asked "can you refactor the code" - AI would then ask me to be more specific, AI would ask me "WHAT DO YOU WANT TO ACHIEVE WITH THE REFACTORING ?" ... and then I had to maybe choose some options ... "with refactoring it can be ... " and AI may suggest ideas and those may be good OR may not be good. BUT, if you guide AI - AI CAN EXECUTE REFACTORING ... but it is just the idea of WHICH refactoring to do." 2. AI in TDD - Using AI for the TDD cycle Discussion (strenghts and weaknesses) Key takeaway: using AI assistant - developers need to be really thoughtful and critical 3. COPILOT DEMO - TDD with Copilot (Java) Practical coding demo using COPILOT (user story, acceptance criteria, using copilot to implement user story with TDD) github com / valetinacupac / tdd - copilot - java " Ref: "AI in TDD by Valentina Jemuović" https://lnkd.in/d5gVfBhu

MuleSoft is continually evolving along with the fast-paced world of #ArtificialIntelligence. Read the blog post by Akshata Sawant to see what's new and what's in the pipeline for MuleSoft and AI. ⬇️

Now, you can develop with computer vision even faster. Use the Landing AI SDK to get a jumpstart. https://bit.ly/3rXwqlD #ComputerVision #AI #semiconductors

Here are some of the top generative AI tools in the code generation space:

One of the most obvious use cases for an LLM is reading a boring tech doc. Here are some tips to make your docs easier to read for their intended audience - some robot. #ai #llm #technicalwriting https://lnkd.in/eh2JXqsa

The number of addressable use cases by chaining together increasingly advanced AI components is only going to grow. For example, combining AssemblyAI with an inexpensive LLM like OpenAI GPT 3.5 via Langchain can lead to very customizable summarization or contextualization of a conversation. Yes, this is 'connecting pipes' on one level. On another level, it's a new category of systems design, where workable definitions of reliability, scalability, and reproducibility are significantly different from a 'traditional' app. As an example of how generative AI demands new ways of thinking about the integration between components, take this paper: https://lnkd.in/e7NN79zn Here, they're designing a new interface (Agent Computer Interface, inspired by HCIs) to enable the agent to be more effective at SWE tasks. These kinds of 'purpose built' interfaces (rather than tying LLMs into UI/UX that is meant for humans) will continue to emerge, and play a large role in the shape of systems leveraging generative AI moving forward. Always interested in developments in this area - if you want to chat, reach out.

AppMap Navie is topping the charts on the SWE-bench leaderboard. Here's how we did it: https://lnkd.in/eQhFXfun #AI #SoftwareEngineering