The Hailo-8 (26 TOPS) is the clear winner for any Frigate build beyond four cameras, and the Hailo-8L (13 TOPS) has taken over as the sweet spot for mid-tier setups of six to ten cameras. The Google Coral Edge TPU (4 TOPS) is still a defensible pick for ultra-budget one-to-three-camera Raspberry Pi builds where an M.2 slot or spare USB port is already sitting idle, but the Hailo-8L usually beats it on price per TOPS even in that range. Reach for Coral when the only goal is stopping Frigate from melting a Pi’s CPU. Reach for Hailo-8 when there is headroom to grow into YOLOv8, higher resolutions, and future model upgrades.
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
The Chinese Open-Weight Coding Stack in 2026: Is Kimi K2.7 Real?
The Chinese open-weight coding stack leads several benchmarks in 2026, but the rankings disagree. Kimi K2.7-Code just landed, yet auditors call it more honest than capable, not better than K2.6. No single model wins outright, so the smart play is a hybrid: plan with Claude, code with Kimi for about $39 a month.
Key Takeaways
- No single Chinese model wins; the leader depends on your task and budget.
- Kimi K2.7-Code looks more honest than K2.6, not clearly smarter.
- Benchmark lists and real-usage data disagree on who leads.
- Kimi K2.6 burns about twice the thinking tokens of K2.5.
- Most heavy users plan with Claude and code with Kimi to cut cost.
What is the Chinese open-weight coding stack in 2026?
The Chinese open-weight coding stack is the group of open-license models built mainly by Chinese labs for agentic software work. The roster includes Kimi K2.6 and the new K2.7-Code from Moonshot, GLM 5.1 from z.ai, Qwen3-Coder-Next from Alibaba, DeepSeek V4-Pro and V4-Flash, MiniMax M3, and Xiaomi’s MiMo V2.5. All ship under Apache, MIT, or near-equivalent open terms.
Drizzle ORM vs Prisma: Which TypeScript Database Toolkit Should You Pick?
Drizzle ORM is the better pick for edge and serverless work in 2026. It ships a 7.4 kB gzipped runtime with zero binary dependencies. Prisma is the stronger choice for teams that want a higher-level query API, a polished data browser, and a growing cloud platform. The right answer turns on where your code runs and how your team thinks about SQL.
That one-paragraph summary covers the call for most people. The reasoning behind it is the rest of this post. The two tools follow different beliefs about how TypeScript apps should talk to databases. Those differences show up in every part of the workflow, from writing queries to shipping on Cloudflare Workers.
OpenCode vs Claude Code vs Cursor: Model-Agnostic Verdict
OpenCode, Claude Code, and Cursor solve the same job three different ways. On one production-codebase test, Claude Code finished 45% faster while OpenCode wrote 29% more tests, and Cursor is the IDE-native option neither benchmark page even mentions. The real winner depends on the model you run and the budget you keep.
Key Takeaways
- Claude Code is faster and polished; OpenCode runs any model you want.
- On one test Claude finished 45% faster, but OpenCode wrote 29% more tests.
- Cursor is the IDE pick; the other two live in your terminal.
- Reddit’s verdict: the better tool depends on which model you run.
- OpenCode plus a local model can cut your coding-agent bill to near zero.
What is the difference between OpenCode, Claude Code, and Cursor?
These three tools split along two lines: who picks your model, and where the agent lives. Claude Code is the managed option. It works out of the box. The catch is that it ties you to Anthropic models like Sonnet, Haiku, and Opus. It runs in your terminal and mostly “just works” with no setup.
Best React Frameworks in 2026: Next.js vs Remix vs Astro
Picking a React framework in 2026 comes down to one question most comparisons skip: how cleanly does it run on your own box without Vercel? On that axis, Astro and React Router 7 (the merged Remix) self-host most cleanly, Next.js carries the heaviest hosting-feature footprint, and TanStack Start stays client-first while everyone else leans into React Server Components.
Key Takeaways
- Remix is now React Router 7; the React version merged into the router itself.
- Astro and React Router 7 self-host on a plain Node box with the least friction.
- Next.js bets hardest on React Server Components; TanStack Start stays client-first.
- Astro ships almost no JavaScript by default, so static export is its sweet spot.
- All four can leave Vercel, but each loses something different when you do.
Why This Comparison Ignores the Vercel Default
Most “best React framework” posts assume one thing without saying it: a one-click Vercel deploy, edge functions on tap, and image optimization handled for you. Strip that away and the rankings shift. The framework that looks best on a managed platform is not always the one that runs cleanly on your own hardware.
Fable 5 vs Opus 4.8: Is It Worth It? The Reddit Verdict
Reddit users who ran both Fable 5 and Opus 4.8 during the free window say Fable feels smarter on first-shot completeness, debugging, and vision, but the gain is uneven and the token burn is real. On the MineBench head-to-head it averaged 18m04s per build versus Opus 4.8’s 24m48s, and cost $54.93 versus $41.52 across 15 builds despite Fable’s 2x price.
Key Takeaways
- Reddit’s hands-on take: Fable 5 nails the task on the first try more often than Opus 4.8.
- On MineBench, Fable ran faster and used fewer tokens, costing about 30% more despite 2x pricing.
- The loudest complaint isn’t quality, it’s token burn that drains Max and Pro limits fast.
- One user’s Subaru misfire: Opus punted, Fable pulled video frames and audio to find the cause.
- Skeptics note Opus often does the same once you prompt it the way Fable figured out itself.
This verdict comes from seven old.reddit.com threads across r/claude , r/ClaudeAI , and r/ClaudeCode , captured during the launch window. One caveat up front: these are enthusiast subs, and most posters were mid free-trial. So the sentiment skews positive, and single-user stories are anecdotes, not proof. Where the crowd disagreed, the dissent is here too.