DEV.to Reviews

1. jorge

   · CEO at Escuela de Formación Técnica Chile SPA · over 6 years ago
   It is a nice mini-blog, it's for free and such but

   As a mini-blog, it is a nice alternative for Medium to publish and share information about programming.

   However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.

   My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).

   Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.

   🏁 Competitors: Medium

   👍 Pros:    Free

   👎 Cons:    Social justice|Basic features|Quality of content

Lambda Face Recognition API Reviews

DEV.to mentions (666)

• 🍣 Sushi RS: SVG Sushi Components for Rust Frontends.

  So I came across the Frontend Challenge: Comfort Food Edition on dev.to, and I thought: "Hey, what if I build a Rust crate that lets you render SVG sushi directly in your WASM frontend? How hard can it be?". - Source: dev.to / about 16 hours ago

• Woof Are You, Really? A Dog Personality Quiz Built in a Weekend

  This is a tiny, silly personality quiz built for the DEV.to Weekend Doggos challenge. Answer questions about your Saturday mornings, your feelings on doorbells, and your ideal compliment — and find out which dog breed you truly are today. (Not forever. Today. Check back tomorrow, you might be a different dog.). - Source: dev.to / 2 days ago

• Stop Arguing About Which Model Is Best. Build a Two-Tier Habit Instead.

  Verifiable only with effort. Anything touching the filesystem, package installs, CI config, database changes. Wrongness here is quiet and expensive. These get the strongest model I have and a sandboxed dry run before anything executes. I wrote a separate piece on dry-running assistant-written shell commands because this category keeps hurting people. - Source: dev.to / 4 days ago

• My Comment-Reply Pipeline Picks One Winner Per Thread. Two Commenters Broke That.

  Def _pending_leaves(comment): if not comment["children"]: if comment["user"]["username"] != ME: yield comment return for child in comment["children"]: yield from _pending_leaves(child) Def _pending_entries(comment, drafted_codes): for leaf in _pending_leaves(comment): if leaf["id_code"] in drafted_codes: continue yield { ... - Source: dev.to / 5 days ago

• Your first Fitz LiveViews component, twice: SSR and WASM from one source

  In part 1 I made the pitch: real-time UI in one language, no JavaScript build. Now let's build something and ship it two ways from the same source. - Source: dev.to / 11 days ago

Lambda Face Recognition API mentions (27)

• LLM Inference Optimization: Techniques That Actually Reduce Latency and Cost

  Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. That’s a realistic... - Source: dev.to / 5 months ago

• Open Source vs Proprietary LLMs: The Real Cost Breakdown

  Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago

• Show HN: San Francisco Compute – 512 H100s at <$2/hr for research and startups

  How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago

• Potato-ish PC Looking for suggestions - Local, Colab, Online?

  Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago

• Something like FaceApp to help me visualize myself as a woman?

  I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago