Hands-on guides, protocol deep dives, and field notes on tunnels, SSH, reverse proxies, self-hosting, self-hosted LLMs, and AI - from the people building Pinggy.
A 5,292-session study measured which vendors Claude Code, Codex, and Cursor actually pick for payments, databases, email, and storage. The agents agree with each other only 42% of the time.
A practical list of cybersecurity equipment for college students: hardware security keys, encrypted external drives, privacy screens, data-blocking chargers, webcam covers, and the dorm-network rules for personal routers.
How can you free up space on your SSD and monitor RAM and CPU usage? How can you prevent overheating and boost performance? Practical tips on workstation optimization for developers.
Why companies are moving from fixed systems to adaptable ones: what remote work, faster development cycles, integration, scalability, and security each demand, and how to judge whether a tool will still fit in two years.
A practical comparison of Funnel.io, Coupler.io, Fivetran, Airbyte, and Supermetrics: connector coverage, ELT vs marketing-first workflows, self-managed vs fully managed pipelines, and entry pricing from $24 to $300 a month.
How AI avatar generation moved from 2D mouth warping like Wav2Lip, through 3D morphable models and neural rendering, to audio-conditioned latent diffusion - with the trade-offs, the bottlenecks, and what to stress test before picking an engine.
Your ISP put you behind Carrier-Grade NAT, so port forwarding is dead. Here is how to reach Home Assistant, Frigate, Zigbee2MQTT, ESPHome and Node-RED from outside the house using an outbound tunnel, including the trusted_proxies settings that Home Assistant needs before it will answer.
Long-horizon agent runs fail for structural reasons, not intelligence reasons. Here is what actually holds a multi-hour agent workflow together: a written success contract, separated discovery and delivery phases, persistent state outside the context window, external test oracles, checkpoints, and hard limits on autonomy.
Apple's M5 Ultra Mac Studio tops out at 512GB of unified memory at 1.2TB/s. Here is the memory math, which large open-weight LLMs actually fit, measured tokens per second, and three ways to run a model bigger than 4-bit allows: Unsloth GGUF quants, streaming weights off SSD, or a Thunderbolt 5 cluster.
git.kernel.org now spends more CPU rendering pages for AI training scrapers than on every git clone and legitimate visit combined. Here's what the numbers say, why proof-of-work challenges like Anubis are winning and losing at the same time, and what it means for anyone running their own infrastructure.
