Dev Systems
Show HN: I Repurposed Unit Tests to Show How Much Coding Agents "Improvise"
As someone who is using agents to code for me a lot lately, I was starting to feel more and more like I'm losing touch with the code I write--it's starting to feel like Claude's code rather than mine. I'm pretty sure I'm not alone in feeling this way, so I made Rudder as a first earnest shot at trying to fix this problem.Nowadays with AI coding agents, unit tests are pretty much dead code--your agent may write them because it has to hit coverage, but it is basically mean
Launch HN: Hoplite (YC S26) – Effortlessly deploy cloud coding agents
Hi HN, we’re Bence and Ryan, founders of Hoplite (https://hoplite.sh). Hoplite lets you deploy coding agents in the cloud, with a suite of tools that makes it incredibly easy to QA features. During onboarding, we port over your local setup - sessions, memories, MCP servers, and get your projects ready to run in the cloud.Here’s a demo: https://youtu.be/bnyktZ_9pjEWe got here after pivoting away from the idea we applied to YC with; AI for retail investing. It ultimately w
Show HN: My journey into game development with AI
I had a development background initially, moved out to a different field 20+ years ago, but often have a nostalgia with periodic attempts to create something. Wanted to share the last one, started 2 months ago as part of my upskilling with AI. Choice what to develop was easy - spent lots of time commuting to the office and wanted a simple game playable offline, without ads, within 5-10 minutes. I have never developed mobile games and this was an point of the experiment - how far I can reach? :)S
Show HN: Interlock – Atomic TypeScript domain transitions on PostgreSQL
Hello HN! I built Interlock because I kept seeing the same architectural issue arise in backend code at work, where a state change starts as one update, then slowly accumulates features until the transaction logic is spread everywhere. This has been exacerbated in the AI era of hyper iterative development, and it confuses devs and agents alike.Interlock is my attempt to make that transition a single explicit unit and commit all of its durable effects together in PostgreSQL.PostgreSQL is the only
Show HN: Hyperlane – A IDE and ADE merging agent worktrees with native tooling
Hi HN, my co-founder and I run Akkento, a small self-funded team building Hyperlane, an independent IDE built on the VS Code source (Code OSS), made for merging worktree-based agent development with actual IDE features.Agent orchestrators give you a worktree based workflow where several agents run in parallel, but they are not IDEs (they are not meant to be), so the moment an agent finishes you have to leave and review the diff somewhere else, actually debug the code and go through a process to
The Lease Pattern: How Distributed Systems Prevent Rogue Leaders #techfacts #DistributedSystems
In distributed computing architectures, ensuring that exactly one node acts as the active coordinator (leader) at any given time is ...
From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking
Every day, Meta’s recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content. In our 2024 post on sequence learning for ads recommendations, we showed how modeling the order and timing of user actions (rather than relying on static, manually engineered sparse features) produces richer, sequence-aware representations of user interests and ad preferences. This post goes a step furt
Microservices Platforms: When Team Topologies Meets Microservices Patterns - QCONSF 2025 video
The video and transcript of my QCON San Francisco 2025 talk on microservices platforms - the basis for the article series - is now available.AbstractWhen many teams work on a large, complex application, the microservice architecture potentially enables them to work independently and deliver a continuous stream of changes. Yet, there’s a risk that those teams become burdened by needing to apply numerous patterns from the microservice architecture pattern language. Instead of writing domain logic,
Show HN: Recruiting/interview tool for recs, hiring managers and interviewers
I do see that a lot of startups here are hiring. I would like to introduce a simple tool that can save a lot of time for you and your team. Last Friday I was on the panel with 2 other folks to do an interview. My boss asked me to focus on a specific area while he asked the other two to focus on two other areas. One hour total. You have to be super efficient with the few questions you get to ask and be fair as well.I used TopRec.io. Dropped the JD and resume and boom! In seconds I get a strength
Show HN: I made a self-built catalogue of education Simulation games
I'm quite intrigued by the new domain unlocked by AI - Simulation games!I want this catalogue to be education related, for players to take something home after playing the game.I'm a researcher of this domain, I will add more games, right now these are available:1. Race to AGI - Can you fight against the odds and run a Frontier AI Labs?
(Learning: To give users nuts and bolts of AI labs and models with some creative freedom)
2. Cloud Architect: Hum - Check your software architecture sk
The latest AI news we announced in July 2026
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/July_AI_Recap_still.max-600x600.format-webp.webp">Here are Google’s latest AI updates from July 2026
Speed limits, GenAI coding agents and Autobahns - part 1: how fast should you go?
GenAI coding agents enable a team to generate code rapidly.However, each team member is powered by a 20 W organic processing substrate, and there’s a limit to the rate at which they can read and understand code.As a result, the team cannot keep up, creating a serious problem: cognitive debt.Code gets committed and deployed that nobody understands.The gap between what the system does and what the team knows it does keeps widening.But it does not have to be this way.Just because an agent can gener
GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. This post goes into the details on how we achieved: doubling end-to-end (E2E) training efficiency to 20–25% Model FLOPs Utilization (MFU) while scaling training FLOPs 4x in 12 months, by co-designing kernels, precision, parallelism, networking, and memory together.Training GEM presents uni
Inside our 353,000-person vibe coding course
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Vibe_coding_course_hero.max-600x600.format-webp.webp">Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.
Show HN: Penca – branchable, versioned OLTP+OLAP on one open copy of your data
Hi HN!This is an early proof of concept of a branchable, versioned OLTP + OLAP database that runs on a single, open copy of your data in object storage. If you are familiar with Databricks' LTAP (https://www.databricks.com/company/newsroom/press-releases/d...) announcement from June, you can think of this as aspiring to be a fully open source, Apache 2.0 LTAP alternative with additional data versioning/auditability guarantees that enable audit, as_of quer
Ventora Expands Its AI Business Builder to Help Solo Founders
Building software is becoming easy.
Building a business is not.AI coding tools have dramatically lowered the barrier to creating SaaS products, AI applications, online services, marketplaces, and e-commerce stores. Entrepreneurs can now generate working products in hours instead of spending months writing code.But for most founders, development is no longer the bottleneck.Launching a successful business still requires validating demand, researching competitors, defining positioning, creating mar
Ask HN: Stop Looking at Code?
There is a recent trend in tech where software development is being done by not looking at code but merely the output.<p>Some of the recent examples include the Bun Rust migration, etc. I wanted to understand both from startup’s and experienced individuals how do you see the trend, are we really moving towards a workflow where we simply optimize the loop or graph and code is merely an artifact this is produced as part of this workflow similar to bytecode or something?
Show HN: Dn – plan collaboratively, let agents execute
Hi HN — we built `dn` because coding got faster, but building software did not. Use the CLI to clear your backlog faster with reusable agentic workflows & other supporting commands. kickstart, meld, loop, land, fixup, and more commands can be used by you or your agent to turn markdown specification into implementation. Use the CLI in GitHub Actions overnight to durably handoff pull requests and
github issues your team picks up in the morning.For example:```sh
dn --agent codex kickstart --awp
아키텍트로 가는 길 : 소프트웨어 아키텍처 강좌 #02 Software Architecture Tutorial
소프트웨어 아키텍처 사용법 - 오리엔테이션 : 강좌 소개 - 왜 소프트웨어 아키텍처를 배우는가? - 소프트웨어 아키텍처 무엇을 ...
Modeling Device Capabilities for Analytics
by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh SelverajNetflix supports a vast and evolving set of features and content types, ranging from 4K streaming and immersive audio to live streaming and cloud gaming, across a diverse ecosystem of devices. However, not all devices are created equal. Hardware limitations such as available RAM, CPU cores, display capabilities, or platform support mean that some features cannot be supported on certain device models. To ensure the best possibl