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@faun shared a link, 1 week, 5 days ago

Powering Real-Time AI Applications

Generative AI databases like SingleStore now cramOLTP,OLAP,vector search, andfull-text searchinto one SQL-first platform. Structured, unstructured—it eats both. No ETL. No silos. Just real-time data, ripe for AI models and semantic queries. System shift:Blending transactional and analytic guts in o..

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@faun shared a link, 1 week, 5 days ago

Proton launches free standalone cross-platform Authenticator app

Proton just droppedProton Authenticator, a free 2FA app that actually respects your privacy. It’s cross-platform, offline-friendly, and skips the usual junk—no ads, no trackers, no bait-and-lock-in. It’s gotend-to-end encryption, a biometric lock, and lets youexport TOTP seedslike it’s your data (b..

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@laura_garcia shared a post, 1 week, 5 days ago
Software Developer, RELIANOID

📌 New: netstat Command Cheatsheet

Need to check active connections, monitor listening ports, or debug network issues? The Linux netstat command remains a go-to tool for quick and effective diagnostics. We’ve created a clear, quick-reference cheatsheet with: 🔍 Essential command flags 📊 Real-world use cases ⚙️ Integration tips for REL..

The_Linux_netstat_command_Cheatsheet
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@faun shared a link, 1 week, 5 days ago

Building Reproducible ML Systems with Apache Iceberg and SparkSQL

Apache Iceberg +SparkSQLbringsACID transactions,schema evolution, andtime travelto data lakes. That means ML pipelines finally get reproducibility and consistency without the hacks. Iceberg’s snapshot-based guts track every version, handle parallel writes without stepping on toes, and keep training ..

Building Reproducible ML Systems with Apache Iceberg and SparkSQL
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@faun shared a link, 1 week, 5 days ago

How to Build an Agent

A new framework lays out six sharp steps for building agents that actually ship. It kicks off with a grounded task, locks in SOPs, then tunes high-leverage prompts. The real choke point? LLM reasoning. Everything else—architecture, data flow, testing—is scoped to chase tight, measurable gains there...

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@faun shared a link, 1 week, 5 days ago

Introducing the Amazon Bedrock AgentCore Code Interpreter

AWS just droppedAgentCore Code Interpreter—a managed box where AI agents can run Python, JavaScript, and TypeScript in isolation. Think of it as a secure playground with autoscaling, controlled file access, and deep hooks into frameworks likeLangChain,LangGraph,Strands, andCrewAI. Big picture: This..

Introducing the Amazon Bedrock AgentCore Code Interpreter
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@faun shared a link, 1 week, 5 days ago

Using generative AI for building AWS networks

Amazon Q Developer CLI and Bedrock just leveled up. You can now spin up AWS Cloud WANs and VPCs using plain English. Type what you need—get full deployments, phased migrations, and IaC for both CloudFormation and Terraform. Agents handle the whole stack: network discovery, rollout, and config. No m..

Using generative AI for building AWS networks
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@faun shared a link, 1 week, 5 days ago

AWS AgentCore: The Overlooked Privilege Escalation Path in Bedrock’s AI Tooling

AWS Bedrock AgentCore just got a new trick: agents (and anyone IAM-blessed) can now runCode Interpreters. Think arbitrary code execution—with custom or predefined IAM roles. But here’s the kicker: these interpreters skipresource policies, lean on control plane APIs, and don’t log squat—unlessyou fl..

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@faun shared a link, 1 week, 5 days ago

Browser-Based LLMs: WebGPU Enables AI in Your Browser

Browser-based LLMs likeBrowser-LLMnow run models likeLlama 2entirely in the browser—no server round-trips, no cloud bill. Just you, WebGPU, and up to7B parametershumming along on your machine. System shift:WebGPU cracks open real AI horsepower in the browser. Local inference gets faster, more priva..

Browser-Based LLMs: WebGPU Enables AI in Your Browser
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Building AIOps with Amazon Q Developer CLI and MCP Server

Amazon Q Developer CLI now hooks into Model Context Protocol (MCP) servers, unlocking AIOps tasks—incident detection, remediation, security fixes—through plain English. Natural language in, real-time control out. It fetches data and talks to your AWS stack via a low-code UI. Tinkerable, scriptable,..

Building AIOps with Amazon Q Developer CLI and MCP Server
bugfree.ai is an advanced AI-powered platform designed to help software engineers master system design and behavioral interviews. Whether you’re preparing for your first interview or aiming to elevate your skills, bugfree.ai provides a robust toolkit tailored to your needs.

Key Features:

150+ system design questions: Master challenges across all difficulty levels and problem types, including 30+ object-oriented design and 20+ machine learning design problems.
Targeted practice: Sharpen your skills with focused exercises tailored to real-world interview scenarios.
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Expert guidance: Dive deep into walkthroughs of all system design solutions like design Twitter, TinyURL, and task schedulers.
Learning materials: Access comprehensive guides, cheat sheets, and tutorials to deepen your understanding of system design concepts, from beginner to advanced.
AI-powered mock interview: Practice in a realistic interview setting with AI-driven feedback to identify your strengths and areas for improvement.

bugfree.ai goes beyond traditional interview prep tools by combining a vast question library, detailed feedback, and interactive AI simulations. It’s the perfect platform to build confidence, hone your skills, and stand out in today’s competitive job market.

Suitable for:

New graduates looking to crack their first system design interview.
Experienced engineers seeking advanced practice and fine-tuning of skills.
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