Dev Systems
Cyber resilience on AWS: A reference approach for recovery from ransomware and destructive events
Cyber resilience is the ability to recover workloads to a known-good state after an adversary has affected the environment. Prevention works to keep threat actors out and detection works to find them quickly. Cyber resilience focuses on recovery: restoring a trustworthy environment when backups, credentials, or parts of the infrastructure can no longer be assumed to be safe. For organizations running critical workloads on AWS, ransomware, data extortion, and other destructive events are increasi
A new experiment brings better group meetings to Google Beam
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Screenshot_2026-05-15_at_4.21.2.max-600x600.format-webp.webp">See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected.
I created a 126K line Android app with AI – the workflow that worked for me
I really wanted to see how far I can go. Can I create a meaningful and complex application, big enough, but without knowing the language.I have 18+ years of experience as software developer. But I have no experience with Kotlin. And to learn Kotlin, to learn the Android libraries, it is not an easy job. I may need at year of active learning and trying things, before having the confidence to start doing something.So, I asked myself, how far can I go with AI tools? And I went far!I created https:&
Ask HN: What AI coding workflows have stuck for you?
There’s a lot of discussion around AI-assisted development, but I’m curious which workflows have actually remained useful beyond the initial novelty phase.
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 ...
New ways to create and get things done in Google Workspace
<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.
Making it easier to understand how content was created and edited
<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.
I/O 2026: Welcome to the agentic Gemini era
<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.
From Prompt to Production: Building Azure Architecture Diagrams with AI
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
How ALS GeoAnalytics LITHOLENS ™ revolutionizes core logging through machine learning with Amazon EKS
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
How Synthesia optimizes generative AI video inference on Amazon EC2 G7e instances
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
GenAI-based development platform - part 4: The coding agent sandwich pattern
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:
Blackstone will create a new TPU cloud in a joint venture with Google.
<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.
What features are missing in current AI agent frameworks?
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.
Some Business Ideas
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
There's a $50B company hiding inside Salesforce
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
The Emotional Cost of AI-Assisted Coding
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
Show HN: GlycemicGPT – Open-source AI-powered diabetes management
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
Show HN: Headless Cloud Security – Headless SaaS has come to security
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
Show HN: Agentic interface for mainframes and COBOL
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