DEV.to Reviews

1. jorge

   · CEO at Escuela de Formación Técnica Chile SPA · about 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

llama.cpp Reviews

DEV.to mentions (648)

• JavaScript still can't ship a full-stack module

  While developing Wasp, a JS full-stack framework, we keep researching other ecosystems (Rails, Laravel, Django, etc.) and finding ways how they figured out developer productivity. We kept finding these reusable legos, so we gave them a name: "full-stack modules". Let's define what we mean by that exactly. - Source: dev.to / 5 days ago

• What We're Seeing After 8,000 SEO Audits

  If you want to see where your site sits in this distribution, run an audit — it takes about 12 seconds. - Source: dev.to / 9 days ago

• How to Get Your First Tool Online

  Getting a first thing online is a milestone worth not reaching alone. A MLH hackathon is the perfect place to try: build, break, and deploy alongside other people over a weekend. And DEV is always here for the other parts, open all the time, where a new coder can post the project, ask for feedback, and read how someone else cleared the same hurdle. - Source: dev.to / 10 days ago

• AI slop and the content treadmill every developer is on

  Same idea. Four rewrites. Four character budgets. Four hashtag policies. Four mental models of an algorithm I do not control and cannot see. And that is before you reach Mastodon, Threads, Reddit, a newsletter, dev.to, and whatever launched this quarter. - Source: dev.to / 12 days ago

• Docker Networking Explained: Bridge, Host, Overlay, and DNS

  Visualizing how Docker Compose services connect to each other — which services share networks and which are isolated — helps catch misconfigured networking before deploying. InfraSketch parses Docker Compose files and maps services and their network relationships as a diagram. - Source: dev.to / 14 days ago

llama.cpp mentions (13)

• Ask HN: How close are we to local LLM models being useful? What's the impact?

  A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 12 days ago

• llama-bench skipped FA on capable GPUs — b9437 corrects it

  Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / 16 days ago

• Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher

  That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 1 month ago

• How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio

  LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 1 month ago

• Why MTP doesn't speed up your llama.cpp inference (and how to actually fix it)

  Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / about 2 months ago