Caddy
PulseAugur coverage of Caddy — every cluster mentioning Caddy across labs, papers, and developer communities, ranked by signal.
7 day(s) with sentiment data
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Self-host Qwen3.8-27B LLM on Oracle Cloud with custom domain
This guide details how to self-host the Qwen3.8-27B-Uncensored LLM on an Oracle Cloud VM, providing an OpenAI-compatible API and a web chat interface. The process involves setting up the model with llama.cpp, configurin…
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AI agents now accessible via text messages, reducing app reliance
A growing number of AI agents are now accessible via text messages, eliminating the need for separate app downloads. These agents can perform tasks such as scheduling, research, and online shopping by understanding cont…
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vLLM security flaws expose sensitive endpoints despite API key usage
The vLLM framework, used for serving large language models, has security vulnerabilities where certain sensitive endpoints remain accessible even when an API key is used. These exposed routes include functions for infer…
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AI agents now live in text messages, bypassing apps · 4 sources tracked
A new wave of AI agents are integrating directly into text messaging platforms, allowing users to interact with them as if they were people. Services like Caddy, Comma, Fambot, and Folk can manage calendars, research to…
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Self-hosting guide for AI agent framework Drobek updated to v0.5.0
The self-hosting guide for Drobek, an AI application framework, has been updated to version 0.5.0. This release focuses on enabling users to run their own AI agents on dedicated servers, managing frontend compilation, b…
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AI agents move into text messages, bypassing apps · 4 sources tracked
A new wave of AI agents is emerging that operate directly within text messaging platforms like SMS, WhatsApp, and iMessage, bypassing the need for standalone applications. These agents can perform tasks such as scheduli…
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Caddy web server updated with LLM and language features
The Caddy web server has received an update, incorporating new features and improvements. This update focuses on enhancing its capabilities, particularly in areas related to language processing and large model integrati…
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AI harness systems boost weak models for real-world tasks
A new approach to making weaker or locally run AI models more reliable for real-world tasks focuses on building a robust system around the model, rather than solely relying on a more powerful model. This system, termed …
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LLM used to create Caddy DNSBL plugin
The author utilized a large language model (LLM) to develop a DNSBL plugin for the Caddy web server. This plugin aims to enhance Caddy's functionality by integrating DNS-based blocklist capabilities, allowing users to f…
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AI scraping bots indistinguishable from pentest bots, user reports
It has become increasingly difficult to distinguish between AI scraping bots and penetration testing bots. A user reported an overwhelming volume of bot traffic from a newly registered domain, which was quickly probed b…
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Developer builds AI-accessible SQL server for 31M stock data records
A developer has created Shibui Finance, an MCP server that provides direct SQL access to a vast dataset of US stock market information for AI models like Claude. The system ingests data from various sources including co…
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Blog post details improving PKM server search with ranking and embeddings
A technical blog post details how to improve search functionality on a personal knowledge management (PKM) server, specifically addressing issues with ranking and embeddings. The author first tackles a ranking bug by co…
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3B LLM fine-tuned into production API for $0 cost
The author details the second phase of their de-swarm project, focusing on transforming a fine-tuned 3B text-to-SQL model into a production-ready API. This phase involved creating a FastAPI gateway that interfaces with …
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Flawless deployment of misread product requirements highlights process vs. spec
A developer recounts a project where a perfectly executed deployment of a new website, learn.intentsolutions.io, was ultimately deemed the "wrong product." The team meticulously followed best practices, including a clea…
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Developer implements 7-point safety model for AI-driven server ops
A developer has detailed a seven-point safety model designed to govern the use of AI tools for server operations. This model, implemented before any specific tools were built, includes measures like a hard write denylis…