Google Cloud Machine Learning Reviews

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

Google Cloud Machine Learning mentions (41)

• Google Just Declared the Chat-Log Interface Dead. Here's What Neural Expressive Actually Signals for Developers.

  For developers building on Gemini API or Vertex AI, the practical question is whether Google exposes the rendering signals that power Neural Expressive at the API level - structured output types, response format hints, media embedding signals - so that third-party applications can build the same adaptive rendering behavior rather than always falling back to raw text. That API surface isn't publicly documented yet,... - Source: dev.to / about 2 months ago

• Google Just Split Its TPU Into Two Chips. Here's What That Actually Signals About the Agentic Era.

  TPU 8t and TPU 8i will be available to Cloud customers later in 2026. You can request more information now to prepare for their general availability. The chips are integrated into Google's AI Hypercomputer stack, supporting JAX, PyTorch, vLLM, and XLA. Deployment options range from Vertex AI managed services to GKE for teams that want infrastructure-level control. - Source: dev.to / 3 months ago

• Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership

  Across the five axes, automation depth is functional via API tool-calling. Session persistence is absent outside the Vertex AI ecosystem. Data residency introduces real exposure for regulated workloads. The standard Gemini API routes data through Google's shared infrastructure, and Google's data usage policies may use API inputs for service improvement unless you're under an enterprise agreement with explicit data... - Source: dev.to / 3 months ago

• Automating Zero-Day Discovery in Windows Kernel Drivers with LangChain DeepAgents

  The survivors get sent to Gemini 2.5 Pro on Vertex AI. DeepZero Pipeline Source Code - Contains the Python-based triager, Ghidra extractor script, Semgrep rules, and the LangChain DeepAgents reasoning loop. - Source: dev.to / 3 months ago

• JavaScript Awesome Package

  VertexAI - Innovate faster with enterprise-ready generative AI. - Source: dev.to / 5 months ago

DEV.to mentions (651)

• 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 / 1 day 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 / 1 day 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 / 8 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 / 16 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 / 19 days ago