You can find and fix Python memory leaks with three tools that pair well: memray
for flame graphs, tracemalloc
for line-level tracking, and objgraph
for object reference maps. Start with memray to spot the hungry functions. Drop into tracemalloc to find the exact lines. End with objgraph to see why objects won’t get collected. Pair this with generators, __slots__, memory-mapped files, and chunked reads to cut peak memory by 50-80% in data-heavy apps.
Hands-on experience with AI, self-hosting, Linux, and the developer tools I actually use
Python Memory Optimization: 50-80% Reduction with memray
Running Gemma 4 26B MoE on 8GB VRAM: Three Strategies That Work
The short answer is no, the Gemma 4 26B MoE model will not fit entirely in 8 GB of VRAM at standard Q4_K_M quantization - the weights alone require roughly 16-18 GB. But with the right approach, you can run it on budget hardware and get usable interactive performance. The three practical strategies are aggressive quantization (IQ3_XS brings weights under 10 GB), GPU-CPU layer offloading (split 15-20 of 30 layers to GPU, rest on system RAM), and multi-GPU setups (two cheap 8 GB cards via tensor parallelism). Each involves different trade-offs between quality, speed, and hardware requirements.
Self-Host Plausible Analytics: 1 KB Script, No Cookies
You can run a self-hosted Plausible Analytics
instance on a $6/month VPS. It uses Docker Compose and a Caddy
reverse proxy for automatic HTTPS. The whole process takes under 30 minutes. Once it runs, you add one <script> tag to your site and you’re done. No cookie banners, no personal data collected. The tracking script weighs under 1 KB gzipped. It stores everything in a ClickHouse
database on your own server, and gives you a clean, fast dashboard for your traffic.
AI Coding Agents Are Insider Threats: Prompt Injection, MCP Exploits, and Supply Chain Attacks
Your AI coding agent has the same file access, shell rights, and database keys you do. A review of 78 studies from January 2026 (arXiv:2601.17548 ) tested every big coding agent. The list ran every major agentic coding assistant . All fell to prompt injection. Adaptive attacks landed more than 85% of the time. This isn’t theory. CVE-2026-23744 gave attackers remote code execution on MCPJam Inspector at CVSS 9.8. A booby-trapped PDF tripped a physical pump through a Claude MCP link at a plant. Attackers hit GitHub’s MCP server to exfiltrate private repository data via malicious issues . And 47 firms fell to a poisoned plugin ecosystem that hid for six months.
Best USB-C Docking Stations for a Dual-Monitor Linux Desk Setup in 2026
The best USB-C docking stations for a dual-monitor Linux setup in 2026 are the CalDigit TS4 (Thunderbolt 4, dual 4K@60Hz, rock-solid kernel 7.0 support) and the Anker 777 (USB4 Gen 2, excellent driver compatibility, more affordable at $149). The deciding factor is whether your laptop supports Thunderbolt 4 or only USB4. Thunderbolt provides guaranteed DisplayPort alt-mode bandwidth for dual 4K; USB4 solutions share that bandwidth with USB traffic and may require Multi-Stream Transport (MST) support from both the dock and the kernel.
Claude Code Skills Ecosystem: 1,340+ Installable Agent Skills for AI Coding Assistants
The Claude Code
skills ecosystem passed 1,340 installable skills in early 2026, and the number keeps climbing. These skills use the universal SKILL.md format
: folders of structured instructions that teach AI coding tools to do special tasks. They work across Claude Code, Cursor, Codex CLI, and Gemini CLI without changes. Official skills have shipped from teams at Anthropic, Trail of Bits, Vercel, Stripe, Cloudflare, and dozens of solo devs. Install takes one npx command.