HN user

owulveryck

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github.com 16h ago

Show HN: A deterministic governance harness for agentic development loops

owulveryck
4pts1
blog.owulveryck.info 18d ago

Codifying the Rules: Building the Platform Behind the Agentic SDLC

owulveryck
1pts0
blog.owulveryck.info 25d ago

What Happens When AI Agents Refuse to Work Until They're Paid

owulveryck
3pts0
blog.owulveryck.info 26d ago

From Isolated Agents to Agentic Mesh: Orchestrating SDLC with A2A and AP2

owulveryck
3pts1
blog.owulveryck.info 29d ago

Who Does What? Team Topologies for the Agentic Platform

owulveryck
45pts33
blog.owulveryck.info 1mo ago

Vibe Coding at Scale? Engineering Strikes Back

owulveryck
2pts0
blog.owulveryck.info 1mo ago

Things I wish I had been taught about coding agents for engineering

owulveryck
3pts0
blog.owulveryck.info 1mo ago

See, Act, Correct: three levers for working with a code agent

owulveryck
2pts0
blog.owulveryck.info 1mo ago

What I learned by building an agentic system in Go to generate Google slides

owulveryck
3pts0
blog.owulveryck.info 1mo ago

An agentic system from scratch to generate Google slide deck from templates

owulveryck
2pts0
blog.owulveryck.info 1mo ago

The Agentic Mesh: Cognitive Automation at Scale

owulveryck
3pts0
blog.owulveryck.info 1mo ago

The Agentic Mesh: Cognitive Automation at Scale

owulveryck
3pts1
gist.github.com 1y ago

Show HN: A simple MCP Server in bash

owulveryck
1pts1
blog.owulveryck.info 1y ago

MCP's 3 U's: Making a Tool Useful, Usable, and Used by and for an LLM

owulveryck
2pts0
blog.owulveryck.info 1y ago

MCP's 3 U's: Making a Tool Useful, Usable, and Used by and for an LLM

owulveryck
1pts0
owulveryck.github.io 1y ago

Show HN: GoMCPTest: Go Playground for Model Context Protocol Experimentations

owulveryck
1pts0
github.com 1y ago

Show HN: Gomcptest – A Go toolkit for testing LLM agents (MCP) with VertexAI

owulveryck
2pts0
blog.owulveryck.info 1y ago

Building MCP Agentic Systems from Scratch with Go, VertexAI and Gemini

owulveryck
2pts2
blog.owulveryck.info 1y ago

Building MCP Agentic Systems from Scratch with Go, VertexAI and Gemini

owulveryck
2pts1
blog.owulveryck.info 1y ago

How to Activate the Value Flywheel Effect with Your Data

owulveryck
4pts1
blog.owulveryck.info 1y ago

How to Activate the Value Flywheel Effect with Your Data

owulveryck
1pts1
blog.owulveryck.info 1y ago

How to Activate the Value Flywheel Effect with Your Data

owulveryck
1pts1
blog.owulveryck.info 2y ago

A tiny data-mesh that fits in a blog post

owulveryck
2pts1
gist.github.com 2y ago

Hope without optimism – transcription of a talk by Dave Snowden (2022)

owulveryck
64pts19
blog.owulveryck.info 2y ago

A tiny data-mesh in a blog post: RAG, Open Standards and Data Contracts

owulveryck
2pts1
gist.github.com 2y ago

Hope without optimism – transcription of a talk by Dave Snowden

owulveryck
1pts0
blog.owulveryck.info 2y ago

Where are the engineering practices when we build a data-product?

owulveryck
1pts0
blog.owulveryck.info 2y ago

Exploring exaptations in engineering practices within a RAG-Based application

owulveryck
3pts1
blog.owulveryck.info 2y ago

Data-as-a-Product and Data-Contract: An evolutionary approach to data maturity

owulveryck
88pts11
blog.owulveryck.info 2y ago

A journey with Ngrok, WireGuard and TSNet for a mobile service

owulveryck
3pts0

Because as a consultant I see that this model (TT) is a proven solution to the problems of cognitive load that prevent models to scale. It will require some adaptations indeed, but I trust that this is a missing piece in the integration of AI in organisations. But I get your point and this is the reason it share it on a personal blog and not on my company blog or in a more trustworthy source of truth.

Thank you for the feedback. I actually use AI as a ghost writer, but I am guilty: I usually tend to add too many concepts for a single article (even without AI).

I usually follow Divio’s documentation to reference explanations and references, but it is not suitable for a blog post

(Op here)

I genuinely think that multi-agent is a probable future to enable coding at the scale of a big corporation.

I agree and I did not see it work yet, but the trial were most likely on small scale where it is simply over engineering.

(Btw : I do not sell tokens. I I think distributed the work through agents in a plateform is a way to control costs by optimizing specialised agents)

I (co)wrote an article with some ideas about an agentic mesh with principle I took from the data-mesh. The main idea is that an agent is a product and the value will come from the agentic ecosystem in a company. The article also explain a breadcrumb to bring agentic into companies.

Just for fun and educational purpose: this is a simple MCP server in shell that helps understanding how it works under the hood without third party libraries.

Just a toy, and very incomplete, but hopefully useful.

This article presents a model for activating a data-driven value flywheel within organizations, emphasizing the interplay between business and technology through a structured, four-phase approach. However, as with any framework, its utility and effectiveness depend on real-world application and feedback.

I welcome the Hacker News community to share their insights and experiences with this model. Do you find it useful in your work? What aspects resonate most with you, and what improvements or alternatives would you suggest?

Diving into RAG (Retrieve, Augment, Generate) systems? Check out my article where I explore the engineering aspects of creating a RAG from scratch—it's not another overview article nor is it about understanding Langchain. Instead, it's an attempt to pinpoint where exactly the engineering ideas lie in the process. Learn the challenges and insights from my experience!

Hello,

In the data mesh, we mark the difference between an operational data (a representation of a state) and an analytical data which have (at least) one temporal dimension.

I did not insist on this in the article because that was not the point.

What you mention is right, it is very difficult to find incentive to get operational data. It is not the same in the analytical world. At its core, data mesh is a paradigm that applies to the analytical world.

Greetings HN community, I've written an article narrating my recent endeavor with goMarkableStream, a tool I crafted to bridge gesture inputs from a reMarkable tablet to a web browser for seamless interactive presentations. This exploration led me down a path where the Unix philosophy and the Go language became pivotal elements. Key highlights of the article: A deep dive into using WebSockets versus HTTP for conveying gestures from a device to a browser, highlighting the trade-offs and practical considerations. An illustration of Unix's enduring principle, "everything is a file," in action - capturing touch events in a Linux-based environment and the strategic choice of Go for its simplicity and robustness. The issues and thought to design a bespoke messaging system over HTTP, moving away from the intricate layers of third-party libraries, in favor of a more transparent, hands-on approach. I try to place some reflections on the journey of tackling complexity with simplicity, echoing Rob Pike’s wisdom: “a little copying is better than a little dependency.” hope you will enjoy the post

Greetings HN community,

I've written an article narrating my recent endeavor with goMarkableStream, a tool I crafted to bridge gesture inputs from a reMarkable tablet to a web browser for seamless interactive presentations. This exploration led me down a path where the Unix philosophy and the Go language became pivotal elements.

Key highlights of the article:

A deep dive into using WebSockets versus HTTP for conveying gestures from a device to a browser, highlighting the trade-offs and practical considerations. An illustration of Unix's enduring principle, "everything is a file," in action - capturing touch events in a Linux-based environment and the strategic choice of Go for its simplicity and robustness. The issues and thought to design a bespoke messaging system over HTTP, moving away from the intricate layers of third-party libraries, in favor of a more transparent, hands-on approach. I try to place some reflections on the journey of tackling complexity with simplicity, echoing Rob Pike’s wisdom: “a little copying is better than a little dependency.”

hope you will enjoy the post

I explored rethinking traditional presentations to enhance engagement. Using a reMarkable tablet, I transitioned from static slides to real-time doodling and audience interaction, promoting active learning and authentic communication. Although challenging, this dynamic approach aims for a more impactful presentation experience. Have you tried innovative approaches to make your presentations more engaging? Would love to hear your thoughts and experiences. #InteractivePresentations #ActiveLearning #reMarkable