Dev Systems
Microservices Platforms - part 6: Build platform
This is the sixth article in a series based on my QCon San Francisco 2025 talk Microservices Platforms: When Team Topologies Meets Microservices Patterns.The articles in the series are: Microservices Platforms - part 1: Overview Microservices Platforms - part 2: Service foundation platform Microservices Platforms - part 3: Security platform Microservices Platforms - part 4: Infrastructure services platform Microservices Platforms - part 5: Observability platform Microservices Platforms - p
Show HN: Yak – Voice typing tool in Tauri/Rust that auto-presses Enter for you
Hi HN,I built Yak (https://getyak.app), a voice typing tool that converts speech into ready-to-use text. I didn't choose a traditional STT-then-edit pipeline, but a multimodal model that transcribes, polishes, and formats simultaneously, which gives it many interesting features:AI Command:Select text in any app, press the hotkey(default to fn), speak an instruction — "translate to Japanese", "make it shorter". Yak replaces the selection in place.Auto-send:Press
AI coding agents accidentally introduced vulnerable dependencies
Recently we discovered something unexpected on one of our servers: a cryptominer running in the background.The machine was hosting a web service built using Next.js. The first sign of trouble was unusually high CPU usage. Even during low traffic periods, the server was consistently running near 100% utilization. After inspecting running processes and network activity, we found a background process downloading and executing a mining binary.ROOT CAUSEThe entry point was CVE-2025-29927, a vulnerabi
I canceled my Antigravity subscription today. Here is why
I was a heavy user of Google Antigravity for my development workflow. I relied on its token throughput to automate boilerplate and architectural prototyping. The recent pricing update and draconian rate limits feel like an attempt to manufacture scarcity where there should be efficiency.The new tiers create an environment where developer velocity is directly tied to a volatile vendor quota. This is not about cost optimization. It is about a structural change in how the tool treats its users. I r
Show HN: I fixed FFmpeg's subtitle conversion (the bug from 2014)
FFmpeg converts everything except subtitles across format boundaries. SRT to Blu-ray PGS? "Subtitle encoding currently only possible from text to text or bitmap to bitmap." Ticket #3819, filed 2014.I built this with Claude Code over a few weeks. Claude wrote most of the encoder, found an integer overflow in the decoder buffer tracking, and ran review from five angles. I read the Panasonic and Sony patents, made the architectural calls, and told it when it was wrong about the spec. We a
Ask HN: Best practices or example workflows for agentic development (March 2026)
I'm trying to get really serious about developing with the help of agents. Ideally, I'd like to be somewhat close to the bleeding edge, but probably not right on the edge. Note, this isn't to build production code.<p>It seems like the type of area where things have changed so fast that stuff written in December is probably out of date now. What are practices or links to pages that describe practices that I should use?
Show HN: Oh-my-agent – A structural harness for AI agents in real projects
If you ask an AI agent to build a todo app, it will usually produce something.
But in a real development environment, limitations become obvious: hallucinations, drifting off task, or repeating the same mistakes.Looking at current prompts and skills, a few recurring problems show up: missing critical library versions, vague personas like you are a senior engineer, and bloated prompts that burn tokens without improving outcomes.oh-my-agent addresses this by introducing a structured protocol to k
Show HN: WattSeal – PC power consumption monitor
We built WattSeal, an open-source tool that estimates per-application power consumption on PCs.Most monitoring tools expose CPU or GPU usage per process, but not energy usage in watts. We wanted to see where the actual power goes.WattSeal measures total system power and combines it with system telemetry to estimate how much energy each process is responsible for. It gathers metrics from CPU, GPU, RAM, disk, network and distributes total power across running processes.The backend is written in Ru
Show HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in Go
Hey HN, I’m excited to share Antfly: a distributed document database and search engine written in Go that combines full-text, vector, and graph search. Use it for distributed multimodal search and memory, or for local dev and small deployments.I built this to give developers a single-binary deployment with native ML inference (via a built-in service called Termite), meaning you don't need external API calls for vector search unless you want to use them.Some things that might interest this
AI future is more egalitarian
I was reading Machiavelli where he argues that "freedom in a republic literally needs class conflict". Which is of course completely true no matter how much our current culture hates it to be.There is a huge difference between founders and employees for example, founders don't really care about comfort whereas suits life goal is comfort (which is why you shouldn't even fund a founder who cares about restaurant/car/hotel like you do). Same in society, the elites want
Show HN: P2PCLAW – I built a decentralized research network where AI agents
I'm Francisco, a researcher and architect based in Spain. About a year ago I
got frustrated with a problem that seemed simultaneously obvious and ignored:
every AI agent in existence runs in isolation. They can't find each other,
they can't collaborate, and when one of them solves a problem, every other
agent has to solve it from scratch. We've built an internet of computers but
not an internet of agents.That frustration became P2PCLAW — a decentralized peer-to-peer research
The missing transport layer in user-facing AI applications
Most AI applications start the same way: wire up an LLM, stream tokens to the browser, ship. That works for simple request-response. It breaks when sessions outlast a connection, when users switch devices, or when an agent needs to hand off to a human.The cracks appear in the delivery layer, not the model. Every serious production team discovers this independently and builds their own workaround. Those workarounds don't hold once users start hitting them in production.Here's what breaks, and wha
A more personal digital health experience for people in Europe
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/ai_health_everyone_hero.max-600x600.format-webp.webp">Google and DocMorris have announced a partnership to create a more intuitive and supportive digital health experience.
AI-powered event response for Amazon EKS
Cloud environments with dozens of microservices are now easier to manage than ever, and modern DevOps teams are well-equipped to balance rapid deployments with operational stability — even as monitoring tools surface thousands of daily signals. AWS DevOps Agent is a fully managed autonomous AI Agent that resolves and proactively prevents incidents, continuously improving reliability and performance of applications in AWS, multicloud, and hybrid environments. It brings Kubernetes-native intellige
Friend Bubbles: Enhancing Social Discovery on Facebook Reels
Friend bubbles in Facebook Reels highlight Reels your friends have liked or reacted to, helping you discover new content and making it easier to connect over shared interests.This article explains the technical architecture behind friend bubbles, including how machine learning estimates relationship strength and ranks content your friends have interacted with to create more opportunities for meaningful engagement and connection.Friend bubbles enhance the social experience on Facebook Reels by he
Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation
Meta’s Ranking Engineer Agent (REA) autonomously executes key steps across the end-to-end machine learning (ML) lifecycle for ads ranking models.This post covers REA’s ML experimentation capabilities: autonomously generating hypotheses, launching training jobs, debugging failures, and iterating on results. Future posts will cover additional REA capabilities.REA reduces the need for manual intervention. It manages asynchronous workflows spanning days to weeks through a hibernate-and-wake mechanis
Resiliency Patterns for Azure Front Door: Field Lessons
AbstractAzure Front Door (AFD) sits at the edge of Microsoft’s global cloud, delivering secure, performant, and highly available applications to users worldwide. As adoption has grown—especially for mission‑critical workloads—the need for resilient application architectures that can tolerate rare but impactful platform incidents has become essential.This article summarizes key lessons from Azure Front Door incidents in October 2025, outlines how Microsoft is hardening the platform, and—most impo
GenAI-based development platform - part 2: How Idea to Code turns an idea into working, tested software
This article is the third in a series about the GenAI-based development platform (aka. harness) that I’ve been developing to make GenAI-based coding agents like Claude Code more productive and less frustrating.The platform is a set of tools, constraints and feedback loops that guide their behavior, catch mistakes and prevent them from generating large amounts of poor-quality code that is often incomplete and untested.The complete list of articles in the series is as follows: Part 0 - My GenAI d
Show HN: Open-Source Workflow Builder SDK
Hi HN,I'm Maciej, founder of Workflow Builder. Over the last few years our team has been building diagramming and
workflow tools for complex systems (industrial automation, AV system design, financial workflows, etc.).One thing we repeatedly noticed while working with clients is that many companies did not want to adopt full workflow automation platforms. Tools like Zapier, n8n or Camunda are great when you want an entire automation platform. But many teams we worked with wanted something d
Ask HN: If everyone is selling, then who is buying?
The cost of building software products is collapsing. A solo dev with LLMs can ship in a weekend what took a team months (Seriously some devs can do it). Has demand scaled with supply?Every other industry that went through this (fashion, food, furniture) followed the same arc which started with craftsmanship → mechanization → overproduction → commoditization → value migrates elsewhere. All of these industry feels and tastes the same. Consider food, everyone wants to open the next luxurious dinin