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

Prodigy Reviews

DEV.to mentions (652)

• ROI of AI Test Automation: A Calculation Framework for QA Leaders

  Katalon True Platform is designed to deliver returns across all four ROI categories through its unified architecture and six purpose-built AI agents, all orchestrated by the Katalon AI Assistant. The model is consistent throughout: AI proposes, humans approve. - Source: dev.to / 2 days ago

• Client-side semantic search for your static site

  The search box on the homepage now runs keyword, semantic, and hybrid search, with a toggle so you can compare and watch them disagree. Type pydub and flip to semantic mode to see it get the answer wrong; flip to hybrid to see it get it right again. The whole thing is a 4 MB lookup table, a tiny document index, and about 300 lines of dependency-free JavaScript, lazy-loaded only when you focus the search box so the... - Source: dev.to / 4 days ago

• How to Pass AI Costs to Customers Without Losing Them

  Start tracking costs from day one with a tool like Tokonomics. Start charging when AI costs exceed 15% of revenue or when you see a clear 10x+ variance between your lightest and heaviest users. Early-stage startups can absorb costs temporarily for growth, but set the expectation early that AI features have usage-based pricing. - Source: dev.to / 4 days ago

• I turned a Claude Code-only web reader into a normal MCP server

  Python -m pip install unlimited-search Unlimited-search read https://dev.to --max-content-chars 1500. - Source: dev.to / 10 days ago

• 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 / 19 days ago

Prodigy mentions (25)

• Launch HN: Encord (YC W21) – Unit testing for computer vision models

  This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / over 2 years ago

• Against LLM Maximalism

  Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / almost 3 years ago

• Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era

  Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / almost 3 years ago

• [D] A model to extract relevant information from a Sample Ballot.

  I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 3 years ago

• Sampling leaves from a tree

  I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 3 years ago