Hey HN! What does a regular workflow at a startup look like?Probably like this:> One founder talks to customers> Another founder builds> A customer asks for something. The first founder explains it to the second. The second founder explains...
Kandelo is an open-source, Wasm-based multi-process kernel that runs POSIX programs in browsers and Node.js.Kandelo is still experimental, but it already runs a substantial range of existing software.Do you have use cases for this?We are trying Kande...
I always was a nerdy, deeply technical programmer. Contributing-to-open-source-and-reading-papers-in-my-spare-time type of programmer.Programming is like a game of chess for me: winning (i.e. delivering a product) is important, but only if I played t...
Part 1 developed a driving metaphor for GenAI-based development: you are the driver, the coding agent and its harness are the car, and your code and delivery system are the road.And in the same way that the road determines how fast you can drive, the...
Enterprises can self-host, sure. Open source projects uses it for the the network effects of GitHub. But why does a small software team need to use GitHub?I understand the ecosystem argument. Once you've got your repos, CI/CD, PRs, code rev...
Teams building AI agents on AWS often face a fragmented data architecture: operational data lives in Amazon DynamoDB while vector embeddings for semantic search sit in a separate, purpose-built vector store. This duplication increases infrastructure...
Samuel Yeboah, Francesco Di Chiara and Mingliang LiuToday, Netflix runs two Flink autoscalers. That is exactly one more than we want. We built the first one in-house years ago, when there was no mature option suited to our platform. The second came f...
If you’re building AI agents for commerce at scale, you face two critical challenges: handling unpredictable traffic spikes and ensuring your agents can be trusted with real customer transactions. This post shows how AgentFlo solved these challenges...
Hi HN, I built this. Quick background on why it exists:When music is streamed on digital streaming platforms (think Spotify, Apple Music, Pandora), there are two separate royalty streams: one for the recording, paid through your distributor (DistroKi...
NAEOS is an open-source engineering system for AI coding agents.It provides architecture, engineering standards, policies, specifications, and validation wworkflow to help agents build software within a consistent engineering context
I'm trying to make an app to help out my local community, but with the intention of scaling it at some point and serving a much wider community. It's a complex app with a lot of moving parts, and as a junior dev with little experience in so...
In this post, you learn how AgentFlo built intelligent sales agents that convert conversations into completed purchases. We show you how AgentFlo improved revenue performance in early deployments using Amazon Bedrock AgentCore and the Strands Agents SDK. AgentFlo, the agentic commerce service by Salesflo, helps merchants deploy always-on AI sales, support, and ordering agents across channels like WhatsApp. These agents understand intent, connect to commerce systems, recommend products, create ca
Many discussions about Microsoft Foundry Agent Service eventually arrive at the same question: should this workload be implemented as a Prompt Agent or a Hosted Agent? While the documentation explains both options well, the architectural decision usu...
Clario, part of Thermo Fisher Scientific, uses Amazon Bedrock to automate PHI (Protected Health Information) and PII (Personally Identifiable Information) detection across thousands of DICOM (Digital Imaging and Communications in Medicine) image slices in clinical trials. Each image slice may carry PII or PHI hidden in metadata tags, in custom vendor fields, or burned directly into the pixels. Across imaging sites, central labs, sponsors, and CROs (Contract Research Organizations), every one of
AI agents built on Amazon Bedrock AgentCore let clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control through human-in-the-loop oversight. According to the Tufts Center for the Study of Drug Development, 80 percent of clinical trials miss their enrollment timelines, and each day of delay costs an estimated $500,000. Today, eligibility decisions rely on manual chart review across fragmented sources — EHR notes, lab results, imaging reports, and medicati
I built a Human + multi-Agent shared memory system I use daily for my coding workflow. It helps reduce Agent drift by formalizing Human decisions and storing coordination logs. We're calling it Agent Mesh.You can try it out yourself via the GitHub link or pip install my-agent-mesh. Simply point your AI Agent to Agent Mesh and ask it to review the README and adoption docs. Your Agent will automatically review it, prompt you for any input needed, add your input to a decision log, and give you
Hi everyone!! I made my own personal static website inspired by my friend's Carrd. I ended up implementing a browser-native post-quantum PGP-like system: signed and encrypted messages are carried directly in URL hash fragments, so the user does not need any accounts, specialized software, or key uploads. Once installed as a PWA, verification and decryption can run fully offline; the only thing that needs to reach the device is the URL itself. Clicking a link with a signed message automatica
As AI applications scale from reactive bots to autonomous agents, their reliability is bound to the speed and accuracy of the data layer beneath them. The integrity crisis nobody is talking about There’s a quiet assumption baked into most AI architectures today regarding data layer consistency, and it’s costing companies more than they realize. The assumption is that the data your AI agent reads is the current state of reality. In a world of distributed systems, cross-region replication, and aut
This is an interesting use case that gets talked about much less, and potentially one that is more useful than software development. Especially now that everyone is relying heavily on AI and even forgetting things they used to know.<p>Have you explored this yourself or found any existing workflows for mastering technologies, concepts, theory, basically everything that we have traditionally learned manually, from university onward?
When Bosch Mobility Platform Solutions set out to unify vehicle tracking across India’s fragmented spot logistics market, they faced a daunting reality: dozens of telematics providers, incompatible data formats, and thousands of concurrent tracking requests — all needing real-time resolution. The result was L.OS, a serverless platform on AWS that standardizes this chaos into a single visibility layer. In this post, we’ll show you how Bosch Mobility Platform Solutions (MPS) uses AWS services to s