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Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use

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Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use

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Docker Image Hardening: Minimal Bases, Non-Root, and Trivy Scans

Docker Image Hardening: Minimal Bases, Non-Root, and Trivy Scans

Hardening a Docker image means cutting the attack surface at every layer. Start from a minimal base like distroless or Alpine. Run as a non-root user. Set the filesystem read-only. Drop all Linux capabilities and add back only what the app needs. Pin dependency versions with checksums. Scan images with Trivy or Grype before you push. Each layer of this checklist stands on its own, so you can adopt them one at a time.

Implement OAuth 2.0 with PKCE: Flask + GitHub Login

Implement OAuth 2.0 with PKCE: Flask + GitHub Login

You implement OAuth 2.0 login by using the Authorization Code flow with PKCE (Proof Key for Code Exchange). Your web app redirects the user to the provider’s authorization endpoint with a code_challenge, the user authenticates and consents, the provider redirects back with an authorization code, and your backend exchanges that code along with the code_verifier for an access token. PKCE is mandatory for all OAuth 2.0 clients under the OAuth 2.1 draft specification (currently at draft-ietf-oauth-v2-1-15) and eliminates the need for a client secret in public clients. Building this from scratch - without Auth0, Clerk, or NextAuth - takes roughly 200 lines of code and teaches you exactly how token exchange, session management, and token refresh actually work.

Why Is My USB-C Charger So Slow? Understanding USB Power Delivery

Why Is My USB-C Charger So Slow? Understanding USB Power Delivery

USB Power Delivery (USB-PD) is supposed to be the universal charging standard that ends cable chaos. In practice, plugging in the wrong cable or charger gives you a device that charges at 5W instead of 100W - or refuses to charge at all. The root cause is almost always one of three things: a cable rated below what the device needs, a charger that advertises high wattage but only supports a narrow set of voltage profiles, or confusion between USB-PD and the half-dozen proprietary fast-charging protocols that coexist with it.

Manage Your Dev Environment with Nix Shells (No Docker Required)

Manage Your Dev Environment with Nix Shells (No Docker Required)

If you have ever handed a new team member a README full of “install Node 22, then Python 3.12, then make sure your openssl headers match” instructions, you already know the problem. Nix flakes solve it at the root: instead of documenting what to install, you declare the exact toolchain in a flake.nix file, commit it alongside your code, and every developer runs nix develop to get an identical environment - same compiler, same CLI versions, same system libraries. In 2026, Nix flakes are stable, the Nixpkgs repository holds over 100,000 packages, and the ecosystem around flakes has matured to the point where the learning curve is manageable even for teams with no prior Nix experience.

MiniMax M2.7: Model That Almost Matches Claude Opus 4.6

MiniMax M2.7: Model That Almost Matches Claude Opus 4.6

MiniMax M2.7 , released in April 2026, is a 230B-parameter open-weights reasoning model (Mixture-of-Experts, 10B active, 8 of 256 experts routed per token) that scores 50 on the Artificial Analysis Intelligence Index. That lands it on par with Sonnet 4.6 across coding and agent benchmarks and within a couple of points of Claude Opus 4.6. Weights are on HuggingFace at MiniMaxAI/MiniMax-M2.7 , the hosted API runs $0.30 / $1.20 per million input/output tokens (roughly a tenth of Opus), and if you have a 128GB-unified-memory Mac Studio, an AMD Strix Halo box, or an NVIDIA DGX Spark , you can run it offline with zero token bills. Two big asterisks: the M2.7 license is not the permissive M2.5 license (commercial use is restricted), and there is no multimodal support. For homelabbers and agent builders who are text-only and non-commercial, M2.7 is the best locally runnable Opus-class option shipped so far.

Production Docker with Traefik v3.6: Auto TLS, 30K RPS

Production Docker with Traefik v3.6: Auto TLS, 30K RPS

Run Traefik v3 as a Docker container to build a production-ready stack. It discovers services through Docker labels and handles Let’s Encrypt TLS certificates automatically. You won’t need separate Nginx configs because everything lives in one docker-compose.yml file. This setup gives you a self-managing reverse proxy for multi-service deployments.

Key Takeaways

  • Traefik automates service discovery using Docker labels to build routes instantly.
  • Native Let’s Encrypt support handles SSL certificates without manual Certbot configuration.
  • A built-in web dashboard provides real-time visibility into your routing health.
  • Middlewares enable easy setup of security headers, rate limiting, and compression.
  • The single-binary architecture handles over 30,000 requests per second on modest hardware.

The current stable release as of early 2026 is Traefik v3.6.x, with v3.7 in early access. All examples in this guide target the v3.x line.

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What X and Reddit Users Are Saying about Claude Opus 4.7

What X and Reddit Users Are Saying about Claude Opus 4.7

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.

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Run FLUX 2 Locally in 2026: VRAM by GPU + ComfyUI Setup

Run FLUX 2 locally in ComfyUI. VRAM by GPU from 8GB to 24GB, GGUF builds, the variant that fits your card, cost versus cloud, and the files to grab.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

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Alacritty vs Kitty in 2026: emoji and Unicode rendering, real benchmarks, latency, memory, maintainer reputation, and the right terminal for your workflow.

Hyprland vs Sway vs COSMIC: Best Wayland Compositor for Developers in 2026

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Running Gemma 4 26B MoE on 8GB VRAM: Three Strategies That Work

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Run Google Gemma 4 26B MoE with sparse activation on budget 8GB GPUs using aggressive quantization, GPU-CPU layer offloading, and tensor parallelism techniques.

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Local Image Models in 2026: Qwen vs FLUX vs SDXL on VRAM

Compare the best local image generation models on text-in-image accuracy, prompt adherence, VRAM, speed, and license to find your quality-per-VRAM sweet spot.

AI Coding Benchmarks in 2026: Why the Leaderboard You Pick Decides the Winner

AI Coding Benchmarks in 2026: Why the Leaderboard You Pick Decides the Winner

AI coding benchmarks produce wildly different rankings. Which models win depends on which benchmark you choose and which agent framework wraps them.

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