DevToolsDigest: Issue #293
This week's digest includes news and resources from Sourcegraph, CircleCI, Miro, and more.
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The Week in Developer Tools
Announcing the LLM Litmus Test
The LLM Litmus Test is a tool that lets you compare different large language models like GPT-4 Turbo, Mixtral 8x22b, and Claude 3 Opus. In addition to comparing LLMs, you can also add a GitHub repo, or repos, and turn on Cody Context, which will search that repo for relevant code snippets to pass to an LLM so that you can get the most accurate and relevant answers.
Authorization is Still a Nightmare for Engineers: Launching Distributed Authorization
Authorization as a Service. The reality falls short of the promise. That’s because to use an authorization service, you have to send it a lot of application data. Any solution that signs you up for a data synchronization process isn’t providing a service. It’s creating a burden. This may sound counterintuitive – shouldn’t an authorization service answer authorization questions on its own? Surprisingly, no.
Vercel Reverts All Edge Rendering Back to Node.js
Vercel has an Edge Network. A request comes in for your site. The edge region can go grab some HTML or JS for your site and quickly return it. Great. When that request comes in, redirect it, proxy it somewhere else, or add headers before continuing. Great. Now, what about rendering my application with edge compute? Not as great.
Industry Research
The 2024 State of Software Delivery
Top engineering teams regularly track their performance across the most important delivery metrics. Do you know how your team measures up? What changes can you make to compete with the industry's elite? In the 5th annual State of Software Delivery, CircleCI has analyzed real software delivery pipelines (not just survey data) using over 14 million data points to bring you insights and recommendations.
How AI-powered Tools Can Improve Enterprise Security
When “AI” and “security” are used in the same sentence, there’s often a negative connotation. While it’s important that all AI users — and especially leaders of organizations full of AI users — are aware of the technology’s security risks, there are also a number of ways in which AI-powered tools can improve enterprise security. This article focuses on those opportunities.
GPT is the Heroku of AI
What is (was) special about Heroku? It’s a very, very expensive infrastructure platform (relatively to rolling it yourself) that promises (and delivers) on the value proposition: no devops needed. This is exactly what OpenAI has given developers with GPT: a very, very expensive way to do ML features without needing an ML team.