Show HN: Syncle – Open-source real-time database synchronization engine
SYNCLE is a A system for synchronizing multiple databases in real-time to ensure consistent data across distributed services.
Dev Systems
Show HN: Grounded-forge: RAG with summaries and task views precomputed at ingest
Hi everyone,I've been working on a knowledge retrieval system that can create distributable applications for several months and I'd love to share it with you!The issue I've found with asking LLMs for advice is that they are trained on a large corpus of text but don't have much discernment. It's even worse when you ask a question like "What is Agile?" Agile is an emergent property of strong leadership and a compatible organisation design, not a methodology to sh
Show HN: A deterministic governance harness for agentic development loops
I genuinely think that autonomous code generation is the future. But today we are facing a problem: we cannot be confident enough in the result produced by an LLM. The problem is its way of working. Even with strong directive such as “make a button blue”, we cannot be sure that the button will be blue (maybe the context has contradictory informations). This POC is based on hooks and is validating that a deterministic generic harness is possible.For example, you may distribute a skill saying that
Reminder: Path to Production for Agents Webinar Series Starts Next Week
Next week, join Microsoft for the Path to Production for Agents webinar series—a free, six-session technical training designed to help organizations move from AI experimentation to secure, scalable, production-ready agent solutions. The series takes place July 27–28 and is aimed at architects, technical leaders, engineers, and AI practitioners looking to operationalize AI at enterprise scale.Across six expert-led sessions, you'll learn how to:Establish governance foundations for AI at scale
Distributed Systems Solve AI authenticity
As reliance on AI becomes mainstream, immutable cryptographic truth, through distributed ledger technology, emerges as a ...
Building a serverless AI assistant at Pelago: concept to care in two weeks
Healthcare organizations face a critical scaling challenge – how to maintain deeply personalized patient interactions as member bases grow, without overwhelming care teams or compromising quality. At Pelago, a digital health company specializing in substance use disorder support, the engineering team found a way to build an AI-powered solution to address this challenge using AWS services in just two weeks. In this post, you will learn how Pelago used AWS serverless and AI services, such as Amazo
AI Transport v0.6.0: mid-run steering
Steering lets a client redirect an agent while the agent is still working, so a follow-up message reshapes the answer in flight instead of cancelling the Run and starting over, or waiting for it to finish.In the AI Transport SDK, a Run encapsulates the agent's output for a single turn (including multiple iterations around an agentic loop). The last release, v0.5.0, made a single agent turn survive a crash by splitting a Run into re-attemptable Steps. This one is about what happens when the user
Building multi-Region resiliency for AWS CloudFormation custom resource deployment
AWS CloudFormation is the foundational tool of infrastructure-as-code for thousands of organizations running workloads on AWS. But as teams push the boundaries of what CloudFormation can do natively, custom resources have emerged as a powerful extension mechanism that unlocks a broad range of possibilities. Yet, when it comes to building resilient, multi-Region deployments with custom resources, customers quickly discover a gap: there is no built-in multi-Region support. In this post, we will ex
Architecting offline-first generative AI applications for edge deployments using AWS services
According to Siemens’ 2024 report The True Cost of Downtime, Fortune 500 companies lose an estimated $1.4 trillion annually because of unplanned downtime. This downtime is often worsened by a lack of skills to detect and resolve issues quickly. Generative AI offers a promising path to address this, but deploying these capabilities in industrial environments introduces a distinct architectural challenge: how do you bring the power of large-scale AI to locations where cloud connectivity is unrelia
Automate custom PII detection at scale with Amazon Macie and Step Functions
Organizations in regulated industries like financial services, insurance, healthcare, and government ingest large volumes of data containing personally identifiable information (PII). Your applications, claims processing systems, partner data feeds, and internal workflows produce files that may include names, addresses, Social Security numbers, and domain-specific identifiers such as policy numbers, member IDs, and medical record numbers. Identifying and classifying this sensitive data is a comp
Does Temporal Workflow Streams replace a durable session layer?
If you're running a customer-facing AI agent on Temporal, you've probably seen this: a user refreshes the tab mid-response. When the page comes back, the response resumes, but anything they were about to send back (an interruption, a tool approval) is gone. Temporal keeps the workflow itself crash-proof, but getting its output to a browser, and taking anything back from the browser into the workflow, has always meant building it yourself. The usual pattern is a Redis pub/sub relay (Redis ac
Show HN: Scaffold a raw idea into something ship-ready in under a minute
Several months ago, I joined a WhatsApp community with around 500 people. Once a community becomes large enough, you start noticing certain patterns.Whenever someone announced a new product idea, the responses were usually the same:“That sounds amazing.”“I would definitely use it.”“Great idea.”“Can’t wait to try it.”I do not think people were intentionally being dishonest. Most were simply being kind. Nobody wants to be the person who discourages someone before they have even started.But that is
Show HN: Meltbox – where your agents send you briefs
Easy to try even without an account! Would love all feedback.Hey all, I'm building Meltbox as a better human in the loop system. It's a way to centralize all of the decisions you need to make into context-rich briefs in a system built for fast human review.[Why]Something major changed recently. Agents have gotten even better and even faster at building apps / sites / dashboards / etc... and that's changed my development workflow in a major way.I often have my agents
Coding Skills Development Report
BLOG: https://juntz-g1thub.github.io/#post=coding-skills-dev REPO: https://github.com/juntz-g1thub/CodingSkills.gitBackground Recently I've been experimenting with vibe coding. I'm using OpenCode as my development tool. When developing TUI programs, AI-assisted code modification proved extremely difficult — every small bug fix required repeated manual testing, and feeding those results back to the agent was cumbersome. Especially for TUI-level feedbac
Introducing tfgen: configure your Terraform stacks using plain Go
Until recently, we extensively used HashiCorp's CDK for Terraform. Then they announced the end of its development. We didn't want to spend months migrating to a new ecosystem, but we needed a replacement.In the Infrastructure Team at Ably, we like Go. I wondered if there was an opportunity for something simpler.Provisioning infrastructure at AblyWe provision all our infrastructure for the core Pub/Sub platform where possible using Infrastructure as Code, initially using Terraform and then making
Show HN: The0 – self-hosted runtime for trading bots, bring your own language
So Im a solo developer who has always had an itch for algorithmic trading. Initially I started off learning how to trade algorithmically with Yves Hilpisch book "Python for Algorithmic Trading" after reading that book I was hooked and started building algorithmic trading bots. Initially these were separate python scripts that I ran on my local machine. That was a bad idea cause local machines are not reliable and I wanted to run my bots 24/7 365. In my actual career im a software
Show HN: Go Micro – An agent harness and service framework in Go
Hi all,I wanted to reshare this after some time. I've been working on evolving my service framework into an agent harness. As all of this AI tooling has evolved its become clear to me that agents, services and workflows are part of a core system of operations which would benefit from a single framework. Previously Go Micro only enabled service development. But now it includes Agents and Workflows.What does that mean? Well firstly services which are registered in a central registry automatic
LiveObjects comes to Java: navigating shared state with the path API
Shared state is a hard problem in the unglamorous sense: the concepts are well understood, but someone still has to build the conflict resolution, the reconnection handling, and the state recovery before anyone can ship the feature that depends on it. That's what LiveObjects is for, and the path-based model that reshaped the API in JavaScript is now available to Java developers too. Point at a location, not an objectHold a reference to a specific LiveMap or LiveCounter instance, and that referen
Q&A about my Explore DDD designing microservices workshop
I’m teaching an updated version of my workshop - Designing microservices: responsibilities, APIs and collaborations - at the excellent Explore DDD conference that’s happening this September in Denver.Here’s a Q&A that explores why this workshop is especially relevant in the age of GenAI, the common mistakes teams make when designing and developing microservices, and how the workshop equips attendees with a practical, repeatable approach to building microservice architectures that enable fast
Show HN: My Fable 5 Project Was a Multiraft Database and Blob Store
Linked from this post is the visualizer and simulator I had Fable 5 create to demonstrate theIn a thread the other day, I asserted it was nice that code is no longer a moat. Getting Raft or Paxos consensus working is one of the most challenging tasks out there, even which etcd.io/raft and hashicorp/raft.The database took about a day for Fable 5 to create. It was updated as tons of work was done on a sandbox app running on top of it.What it delivered was a distributed unified KV and blo