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.

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.

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.

You can self-host a private PyPI registry with pypiserver and a private npm registry with Verdaccio . Both run on a single box or inside Docker containers. You get three wins that public registries cannot match: faster installs from a LAN cache, a safe home for private packages, and cover against outages, typosquatting, and supply chain attacks. Both tools are free, open-source, and take under 30 minutes to set up.

Testcontainers spins up real databases and services as Docker containers inside your test suite. Tests run against production-grade PostgreSQL, Redis, or Kafka instead of flaky mocks. The testcontainers-python v4.14.2 library works with pytest . It automates the container life cycle. You get isolated, reproducible integration tests that catch bugs unit tests miss.

Below: setup with pytest, testing services beyond databases, performance patterns, and CI/CD configuration.

Why Mocks and In-Memory Databases Are Not Enough

Mocking db.execute() only checks if your code calls the function. It does not check if the SQL is valid. It also misses schema errors and type mismatches. You might have passing tests while your queries fail in production.

The most productive developers in 2026 don’t use a single AI tool. They run a three-tier stack. Tier 1 is inline completions for line-by-line speed. Tier 2 is parallel agent sprints that take on feature-sized work. Tier 3 is overnight batch agents that run 30 to 50 improvement cycles while you sleep. GitHub’s research shows AI pair programming makes developers 55% faster, but that gain comes mostly from Tier 1. The real win comes from running all three tiers at once, with clear rules about which task goes where.