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Webhook Relay with Cloudflare Tunnels: Free ngrok Alternative

Webhook Relay with Cloudflare Tunnels: Free ngrok Alternative

You can expose a local development server to receive webhooks from services like GitHub, Stripe, or Twilio by running cloudflared alongside a FastAPI application. This eliminates port forwarding, public IPs, and paid ngrok subscriptions entirely. Cloudflare Tunnels create an outbound-only encrypted connection from your machine to Cloudflare’s edge network, which then proxies incoming webhook requests back to your local FastAPI endpoint with full TLS, automatic reconnection, and zero firewall changes.

Meilisearch + HTMX: Sub-50ms Search in 14 KB, No Framework

Meilisearch + HTMX: Sub-50ms Search in 14 KB, No Framework

By combining Meilisearch v1.12’s fast REST API with HTMX 2.0’s hx-get and hx-trigger="keyup changed delay:300ms" attributes, you can build a real-time, typo-tolerant search interface that returns results in under 50ms - without writing a single line of custom JavaScript or pulling in React, Vue, or any frontend framework. The server renders HTML fragments that HTMX swaps into the DOM, keeping the entire search experience under 15 KB of total JS payload. What follows covers the full setup from Docker Compose to a working search UI with faceted filtering.

Code Interpreter with Ollama and Docker: Unlimited, Private

Code Interpreter with Ollama and Docker: Unlimited, Private

You can build a fully local, sandboxed code interpreter agent by pairing Ollama (running a reasoning model like Llama 4 Scout or DeepSeek R1) with a Docker container that executes the generated Python code. The agent sends a user prompt to the local LLM, which produces Python code; that code gets injected into a locked-down Docker container with no network access and strict resource limits; the stdout/stderr output is captured and fed back to the LLM for reflection and iteration. The entire loop runs on your machine with zero cloud API calls, giving you a private, free, ChatGPT Code Interpreter-style experience.

NixOS for Non-Believers: A Practical Guide for Developers

NixOS for Non-Believers: A Practical Guide for Developers

You have sent the message “it works on my machine” at least once in your career. Maybe you’ve been on the receiving end of it. Either way, the problem is always the same: two machines that are supposed to be identical are not, and no one can explain why. One has Python 3.11, the other has 3.12. One has a system-level OpenSSL that some C extension links against, and the other doesn’t. One engineer installed a package six months ago and forgot about it.

Gatus: 50 endpoints, 40MB RAM, free status page for self-hosters

Gatus: 50 endpoints, 40MB RAM, free status page for self-hosters

Gatus is a single-binary or single-container monitoring tool that continuously probes your services and renders a public status page at a URL you control. You define every check in one YAML file, so your entire monitoring setup can live in Git alongside the rest of your infrastructure. There is no mandatory database, no web-based configuration UI to click through, and no per-monitor pricing. If you self-host anything - a blog, a Gitea instance , a Home Assistant server, a mail relay - Gatus gives you a straightforward way to know when something breaks and to show your users that things are running.

Moving from VirtualBox to Docker Desktop on Linux

Moving from VirtualBox to Docker Desktop on Linux

If your Linux development workflow still depends on one or more VirtualBox VMs, you are not doing anything wrong. VirtualBox has been the default answer for isolated dev environments for years: predictable snapshots, clear network modes, and a full guest OS that behaves exactly like a separate machine.

But in 2026, most application development tasks do not need full hardware emulation. They need fast startup, easy sharing, consistent dependencies, and low resource overhead. That is exactly where Docker Desktop and docker compose shine.

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Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

A head-to-head comparison of Gemma 4, Qwen 3.5, and Llama 4 across benchmarks, licensing, inference speed, multimodal capabilities, and hardware requirements. Covers the full model families from edge to datacenter scale.

5 Open Source Repos That Make Claude Code Unstoppable

5 Open Source Repos That Make Claude Code Unstoppable

Five GitHub repositories released in March 2026 push Claude Code into new territory. From autonomous ML experiments running overnight to multi-agent communication and full Google Workspace access, these open source tools solve real workflow gaps that Claude Code cannot handle alone.

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DeepSeek V4 Tech Report: 3 Tricks That Cut Compute 73%

DeepSeek V4 ships 1.6T parameters and 1M context using only 27% of V3.2's inference FLOPs. Inside the hybrid attention, mHC residuals, and Muon optimizer.

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GPT 5.5 Reddit Reception: Goblins and the Cost Backlash

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What X and Reddit Users Are Saying about Claude Opus 4.7

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How power users on X and Reddit reacted to Claude Opus 4.7: praise for agentic coding, token burn concerns, and teams' practical prompting habits.

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Alibaba's sparse MoE model: 35B total parameters, 3B active. Scores 73.4 on SWE-bench Verified, matches Claude Sonnet 4.5 vision performance.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Compare Alacritty and Kitty terminal emulators: performance benchmarks, latency, memory use, startup time, and which fits your Linux workflow best.

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