Firebase + Agent Skills: Add AI Superpowers to Your Firebase App | Part: 9
You’ve been staring at your Firebase console at 2am trying to figure out why your Firestore Security Rules are rejecting authenticated… Continue reading on Medium »
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TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents
TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreSQL. The open source project exposes database data through a standard filesystem interface, allowing developers and AI agents to interact with it using common Unix tools such as ls, cat, find, and grep, rather than via APIs or SDKs. By Renato Losio

Why Standard HTTP Libraries Are Dead for Web Scraping (And How to Fix It)
If you are building a data extraction pipeline in 2026 and your core network request looks like Ruby’s Net::HTTP.get(URI(url)) or Python's requests.get(url) , you are already blocked. The era of bypassing bot detection by rotating datacenter IPs and pasting a fake Mozilla/5.0 User-Agent string is long gone. Modern Web Application Firewalls (WAFs) like Cloudflare, Akamai, and DataDome don’t just read your headers anymore—they interrogate the cryptographic foundation of your connection. Here is a deep dive into why standard HTTP libraries actively sabotage your scraping infrastructure, and how I built a polyglot sidecar architecture to bypass Layer 4–7 fingerprinting entirely. The Fingerprint You Didn’t Know You Had When your code opens a secure connection to a server, long before the first
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🦀 Rust Foundations — The Stuff That Finally Made Things Click
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Why Standard HTTP Libraries Are Dead for Web Scraping (And How to Fix It)
If you are building a data extraction pipeline in 2026 and your core network request looks like Ruby’s Net::HTTP.get(URI(url)) or Python's requests.get(url) , you are already blocked. The era of bypassing bot detection by rotating datacenter IPs and pasting a fake Mozilla/5.0 User-Agent string is long gone. Modern Web Application Firewalls (WAFs) like Cloudflare, Akamai, and DataDome don’t just read your headers anymore—they interrogate the cryptographic foundation of your connection. Here is a deep dive into why standard HTTP libraries actively sabotage your scraping infrastructure, and how I built a polyglot sidecar architecture to bypass Layer 4–7 fingerprinting entirely. The Fingerprint You Didn’t Know You Had When your code opens a secure connection to a server, long before the first

Tired of Zillow Blocking Scrapers — Here's What Actually Works in 2026
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Why Gaussian Diffusion Models Fail on Discrete Data?
arXiv:2604.02028v1 Announce Type: new Abstract: Diffusion models have become a standard approach for generative modeling in continuous domains, yet their application to discrete data remains challenging. We investigate why Gaussian diffusion models with the DDPM solver struggle to sample from discrete distributions that are represented as a mixture of delta-distributions in the continuous space. Using a toy Random Hierarchy Model, we identify a critical sampling interval in which the density of noisified data becomes multimodal. In this regime, DDPM occasionally enters low-density regions between modes producing out-of-distribution inputs for the model and degrading sample quality. We show that existing heuristics, including self-conditioning and a solver we term q-sampling, help alleviate


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