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varbear
@varbear shared an update, 3 weeks, 1 day ago
FAUN.dev()

Tailwind CSS Lays Off 75% of Its Engineering Team as AI Cuts Documentation Traffic by 40%

#Tailwin...  #AI impa...  #enginee...  #GenAI  #Vercel 
tailwindcss Vercel

Tailwind CSS laid off roughly **75% of its engineering team** after a **~40% drop in documentation traffic** and an estimated **~80% decline in revenue**, even as usage of the framework continues to grow. According to its creator, AI-driven access to documentation has broken the link between adoption and sustainability.

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News FAUN.dev() Team Trending
devopslinks
@devopslinks shared an update, 3 weeks, 1 day ago
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Pulumi Expands IaC Platform to Support Terraform, OpenTofu, and Native HCL

#infrast...  #Terrafo...  #Pulumi  #HCL  #OpenTof... 
Pulumi Terraform

Pulumi added support for managing Terraform and OpenTofu state in Pulumi Cloud and introduced native HCL support in its infrastructure as code engine. These changes allow teams to use Terraform, OpenTofu, Pulumi languages, and HCL side by side, with shared state visibility, governance features, and AI-assisted operations available across tools.

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GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.