Claude AI Reviews

1. FossFox

   14 days ago
   Fable is great

   Expensive, and the pricing model changed, but it just works. I hope more competitors release equally good quality to have a more fair pricing model in the longrun.

   🏁 Competitors: ChatGPT
2. MaryRhoades

   6 months ago
   More like cloud AI - Its good

   So I’ve been playing around with Claude for a bit, and here’s the vibe:

   Honestly, it feels way more chill than a lot of other AI tools. It’s super polite, doesn’t jump into assumptions too fast, and gives responses that are easy to read like talking to a thoughtful friend rather than someone in a hurry. It’s surprisingly good at breaking down complex stuff into simple terms without sounding condescending, which I really appreciate.

   In terms of creativity, Claude does pretty well — whether I ask for a poem, a short story, or help brainstorming ideas, it doesn’t just give cookie-cutter replies. There’s a bit of personality there, like it tries to make things interesting rather than just factual.

   On the downside? Sometimes it plays it a bit too safe. If you push for a bold opinion or a more adventurous answer, it’ll often stay in the middle-of-the-road lane. And for niche topics, it’s not always as sharp as some other models unless you give super clear instructions.

   Also, it’s fast no long pauses or overcomplicated explanations which makes it nice for quick back-and-forth.

   👍 Pros:    Cheap

   👎 Cons:    Reports
3. Tyler Branham

   · Founder at LeadGen Companies · almost 2 years ago
   2X or more your productivity

   Claude Sonnet 3.5 is amazing for coding! I used to use the chat interface and copy-paste, but now I use aider.chat. Aider works in a git repo and forces Claude to only make the changes you requested. Changes are easy to revert.

   A downside: Code is not always what I want. I try to make it do work in small chunks and this helps. Excels at writing boilerplate-y code that tends to be a little different on different websites.

   Two helpful styles of prompts:

   1. "Make this better", "Make it look better", etc. - Will optimize code, make it DRY, improve HTML/CSS styling in templates, and more.
   2. "What are my options?" - Helpful if you're not an expert in something or need to brainstorm.

   Using it for Python/Django/HTMX/AlpineJS. Django templates mixed with JS are no problem.

   🏁 Competitors: ChatGPT

   👍 Pros:    Optimizes and improves code, layouts, and more|Reduces boilerplate

   👎 Cons:    Code is not always great|Can be hard to keep track of things when you're moving so fast

llama.cpp Reviews

Claude AI mentions (99)

• Claude Design by Anthropic Labs

  Have same issue, it redirect to https://claude.ai/login?returnTo=%2Fdesign then back and redirect to https://claude.ai/login?returnTo=%2Fdesign again, looping... - Source: Hacker News / 3 months ago

• Small models, big ideas: what Google Gemma and MoE mean for developers

  My prefered way of using a new mode is through Claude, but I believe Gemma4 has a different tool calling structure so it is not compatible yet, but you can use it with LMStudio, or skil all that because you can now. - Source: dev.to / 3 months ago

• It's Time to Learn about Google TPUs in 2026

  – In 2024, Apple released a technical paper revealing that "Apple Intelligence" was trained on TPUs, bypassing NVIDIA entirely – Top AI models like Claude (Anthropic), Midjourney, and Character.ai rely heavily on Google because they offer better performance-per-dollar for massive Transformer models. - Source: dev.to / 6 months ago

• 🧩 Runtime Snapshots #11 — The Design Loop: From 'Make It Like That Site' to Pixel-Perfect Code

  Drop an image into Claude or ChatGPT asking it to "recreate this." The result? The LLM guesses styles. Is that padding 16px or 24px? Is that blue #3b82f6 or #2563eb? Is the shadow 0 2px 8px or 0 4px 12px? Pure hallucination. - Source: dev.to / 6 months ago

• How to Deploy Alpaca’s MCP Server Remotely On Claude Mobile App

  AI tool (MCP Client) with a paid subscription is preferred - We use Claude with “pro plan” as an example. - Source: dev.to / 6 months 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 / 27 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 / about 1 month 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 2 months 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 2 months 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 / 2 months ago