01. Introduction to Distributed Systems | Distributed Systems | Generated by NotebookLM
Disclaimer: This video is intended as a supplementary resource designed to complement textbooks, lectures, and official course ...
Disclaimer: This video is intended as a supplementary resource designed to complement textbooks, lectures, and official course ...
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/GoogleWorkspace-IO.max-600x600.format-webp.webp">Announcing new voice capabilities in Gmail, Docs and Keep, a new design tool called Google Pics and updates to AI Inbox.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/FINAL_SOCIAL_HERO_laWfMt0.max-600x600.format-webp.webp">We're expanding our tools to help you understand how content was created and edited across the web.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/SundarKeynote-hero.max-600x600.format-webp.webp">The latest from Google I/O: See how we’re helping you get more done with Gemini.
Author: Arturo Quiroga, Senior Partner Solutions Architect — MicrosoftCloud architects spend significant time translating ideas into architecture diagrams. They toggle between Visio, draw.io, pricing calculators, and documentation. According to the 2024 Stack Overflow Developer Survey, 61% of developers spend more than 30 minutes a day searching for answers or solutions, time lost to context-switching rather than design. What if you could describe your architecture in plain English and get
In the mining industry, accurate geological analysis is required for improving mine design and development. Traditionally, this involved labor-intensive and time-consuming on-site inspections of drill core samples, often conducted in remote and challenging environments. ALS GeoAnalytics has streamlined this process through its LITHOLENS platform, a machine learning (ML)-powered system that uses deep learning and machine vision to automate core logging. LITHOLENS significantly enhances data con
Synthesia, an enterprise-focused AI video platform, has transformed content creation, helping everyone to create video content without cameras or microphones. To achieve this, Synthesia allows its users to create video avatars that synthesize the likeness and voice of real people. Synthesia achieves this through a series of in-house developed models based on various architectures, including latent diffusion video generation models. Customers like Synthesia often choose to host their models on Am
This article describes the “coding agent sandwich” — an architecture pattern consisting of a tasty filling of LLM invocations sandwiched between two slices of plain old code (POC).This article is part of a series about the GenAI-based development platform (a.k.a. harness) that I’ve been developing to make GenAI-based coding agents like Claude Code more productive, more secure and less frustrating.The complete list of articles in the series is as follows: Part 0 - My GenAI development workflow:
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Blackstone_Google_logo_lockup.max-600x600.format-webp.webp">Blackstone announced a joint venture with Google to create a new TPU cloud.
Infrastructure side:1. A service connector that can be attached to any AI Assistant to authenticate users and connect services easily, similar to MCP but more universal. 2. CDN service connectors that can store assets and retrieve them very fast from anywhere in the world. 3. Database-as-a-service connectors that are highly available and very simple to connect or disconnect from any provider without managing infrastructure. 4. Object storage service connectors that can be attached to personal as
What’s currently missing in AI agent frameworks?<p>Examples:<p>* better memory systems * workflow debugging * human-in-loop controls * distributed execution * lower latency orchestration<p>Interested in hearing what developers actually need.
This post doesn’t have a blog or article; it is a blog itself (kind of). I’m just sharing how coding agents feel.A little about me: I started CS in 2020. I liked being able to instruct and interact with the world through code. I especially liked how code runs on hardware, and how software plus hardware can make machines learn patterns.Coding in the pre-LLM era felt like real engineering. I don’t have the words for it, but things felt grounded, discrete math, fundamentals, networking protocols, i
Hi — I'm Taylor, founder of revkit.ai.I've been quiet on the YC blog because we've been heads-down with our first wave of customers. But I want to share the thesis we're building on, because I think it matters for any founder watching the AI-meets-enterprise wave.I'll keep it tight.The thesis in one paragraph Salesforce has more than 150,000 customers. It runs the revenue operations of a meaningful slice of the global economy. And the actual day-to-day experience of usin
I'm a Type 1 diabetic and software engineer. Last year I went months between endocrinologists with no clinician reviewing my data. I'm an engineer, so I built the tool I needed — and now I'm open sourcing it. GlycemicGPT is a self-hosted platform that connects continuous glucose monitors, insulin pumps, and existing Nightscout instances to an AI analysis layer running on your own infrastructure. Data sources:Dexcom G7 (cloud API) Tandem t:slim X2 and Mobi pumps (direct BLE) Nights
Simple AI Orchestrator based on Ralph. The original Ralph idea was to repeat the same PROMPT over and over again, which was still a pretty powerful idea to this day. This workflow builds on top of the original Ralph idea by introducing verification after development, planning iteration before we start development using the same Ralph idea for planning and not just developing code. The entire thing is also free and open source so anyone can start using it right away. I'll be here to answer a
Coding agent management is all the rage right now, and many tools are being created to fill the gap.As a power user for all tools I've used since I've started my software engineering career, I've always taken the time to test multiple tools thoroughly before deciding on one, and an agentic manager was no different.I've tested many tools, but ultimately landed on Agent of Empires (AoE for short). Why ? Because it's fast, the development is active and it's feature com
The cloud security company I work for, Sysdig, launched “Headless Cloud Security” last week.The short version: as attacks get faster and more automated, security tooling is going to need to evolve beyond dashboards and humans clicking through workflows all day.We’ve already seen “headless” models emerge in other categories, and engineering teams are rapidly adopting agentic and CLI-first workflows with tools like Claude Code, Cursor, and MCP servers. Security teams, historically, tend to lag eng
Hi HN, we’re Sai and Aayush, and we’re building Hypercubic (https://www.hypercubic.ai/), bringing AI tools to the mainframe and COBOL world. (We did a Launch HN last year: https://news.ycombinator.com/item?id=45877517.) Today we’re launching Hopper, an agentic development environment for mainframes.You can download it here: https://www.hypercubic.ai/hopper, and you can also request access and immediately get a mainframe user account to play with.There
Organizations are increasingly drawn to open-source observability frameworks like OpenTelemetry. They seek to reduce costs associated with third-party licensing and avoid vendor lock-in. Combining OpenTelemetry collectors with Amazon CloudWatch Metric Streams helps enterprises pursue their observability goals while eliminating third-party licensing fees and achieving sub-minute latency for real-time alerting. CloudWatch Metric Streams offer built-in support for publishing to OpenTelemetry endpoi
On its face the new Friend Bubbles feature looks simple enough. It highlights Reels your friends have watched and reacted to. But sometimes the features that seem the most straightforward require the deepest engineering work.On this episode of the Meta Tech Podcast, Pascal Hartig chats with Subasree and Joseph, two software engineers from the Facebook Reels team, about what it took to bring Friend Bubbles to life. They discuss the evolution of the ‘ machine learning model behind the featur