How to Combine Monkey Testing With Structured Test Automation?
Explore a practical approach to combining monkey testing with structured test automation, including smart test design, observability, and risk-based execution.
Updates and recent posts about Vertex AI..
Story
@idjuric660 shared a post, 3 months, 2 weeks ago
Technical Content Writer, Mailtrap
5 Best Email API for Node.js Developers Tested & Compared
The best email APIs for Node.js developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. I tested each by building a demo application and integrating all services to find which provides the best SDK. Read on for complete results. Node.js email API comparison SDK quality SDK ‘quality’ co..
Story Trending
@laura_garcia shared a post, 3 months, 2 weeks ago
Software Developer, RELIANOID
🎉 𝗪𝗲 𝗗𝗶𝗱 𝗜𝘁 — 𝟭,𝟳𝟬𝟬+ 𝗙𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻! 🚀
Big news from the RELIANOID team! We’ve just crossed 𝟭,𝟳𝟬𝟬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 on LinkedIn, and we couldn’t be more grateful 🙌 This community is growing thanks to you — our partners, customers, tech enthusiasts, and cybersecurity professionals who follow our journey in application delivery, security, and high..
Link Xygeni Team
@mashka shared a link, 3 months, 2 weeks ago
Paid Acquisition and Growth Marketing, xygeni
When AI Became Part of the Attack Surface
AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.
Story
@viktoriiagolovtseva shared a post, 3 months, 2 weeks ago
How to Plan a Product Release in Jira
From the Release Hub and backlog management to automated release notes, Jira has plenty of tools to help you plan your next release. In this blog post, we explain how to use these tools effectively for different release types. You will also get practical tips for extending the native Jira release planning capabilities with additional apps. Let’s dive in!
Link
@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()
A better way to limit Claude Code (and other coding agents!) access to Secrets
A new workflow dropsClaude Codeinto aBubblewrap-based sandbox, cutting Anthropic's client-side code out of the trust loop. Compared to spinning up Docker or juggling user accounts, Bubblewrap locks things down tighter - with less setup and cleaner OS-level walls around files, network access, and sec.. read more
Link
@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()
Reversing YouTube's "Most Replayed" Graph
An engineer cracked open YouTube’s “most replayed” heatmap. Turns out it runs onsampled view frequency arrays, client-sidenormalization, andSVG renderingstitched together withCubic Bézier splinesfor that smooth, snappy curve. Behind the scenes, playback gets logged with adifference array + prefix su.. read more
Link
@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()
An Honest Review of Go
Go gets big props for its built-in concurrency model withgoroutinesandchannels, which make lightweight, scalable parallelism easy and ergonomic. The author criticizes Go's type system for lacking things likeenums, closed type sets, and tuples, making certain patterns awkward compared with Rust's ric.. read more
Link
@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()
How Github monopoly is destroying the open source ecosystem
Out of 238 student open source contributions over seven years, 237 landed onGitHub- even though they were told to look elsewhere. One short-lived GitHub IP block brought everything to a standstill. No commits. No reviews. Just silence. Turns out, a single platform holds the keys to a whole ecosystem.. read more
Story
@laura_garcia shared a post, 3 months, 2 weeks ago
Software Developer, RELIANOID
🚨 Join RELIANOID at the Dallas Cybersecurity Conference 2026! 🚨
📍 Dallas, Texas | 🗓 January 22, 2026 Securing the Future starts here. We’re excited to be part of FutureCon Dallas, a high-impact event bringing together CISOs, C-suite leaders, and senior security professionals to tackle today’s most pressing cyber threats. 🔹 Why attend? Gain actionable insights in..
Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.
The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.
Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.
