Claude AI Reviews

1. FossFox

   about 1 month 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

   7 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

GitHub Reviews

1. Reinhard

   · Boss at CLOUD Meister · over 5 years ago
   perfect 4 open Source

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 / 4 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 / 4 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 / 7 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 / 7 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 / 7 months ago

GitHub mentions (2476)

• Como criei um agente de IA para selecionar testes automaticamente em PRs (Parte 1)

  """Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 4 days ago

• I Treat My Video Descriptions Like a Build Artifact Now. Here's the Pipeline.

  # video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 5 days ago

• I audited a 5.5 GB AI training dataset by downloading 0.8% of it

  Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 10 days ago

• Superlogical – Mitchell Hashimoto

  Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:

          Host *.

  - Source: Hacker News / 17 days ago

• Your Agent's Confidence Score Is Not a Probability

  All of this assumes you can actually inspect what the agent did — the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 17 days ago