Coder Legion

Security dominated this week, but not in the usual way. Two active campaigns turned GitHub configuration files into attack surfaces. Researchers demonstrated that the built-in browsers inside AI coding tools can read your SSH keys. And at Oracle AI World in Las Vegas, three separate announcements showed how Oracle is thinking about agent identity, governance, and deployment in enterprise systems. There was a lot to track. Here's what matters.

JSON-RPC 2.0 is a small specification: the client sends {"jsonrpc":"2.0","method":"...","params":{...},"id":1}, and the server answers with a result or an error. REST makes you decide on routes, HTTP verbs and status codes; JSON-RPC only cares about which method to call and with what parameters. For an API where you own both the front end and the back end, that is pleasant to work with.

ERP Adoption in Malaysia: Why Employee Training Matters as Much as Software Selection Enterprise Resource Planning (ERP) software has become an important investment for Malaysian businesses looking to improve operational efficiency, automate workflows, and manage business data more effectively. From manufacturing and retail to trading, distribution, and logistics, companies are adopting ERP solutions to connect departments and make better business decisions.

It is with a heavy heart, and a considerably heavier wool inventory, that I announce LaaSy™ will cease operations effective immediately. This is not the outcome we envisioned when we set out to democratize autonomous camelid infrastructure. We believed enterprises were ready for pasture-native computing. We believed the world needed Deterministic Spitting™. We believed, perhaps most fatally, that the market would recognize the existential risk of Unmanaged Wool Sprawl before it was too late.

In today's competitive digital world, creating a beautiful website is no longer enough. Businesses need websites that are accessible, easy to navigate, fast to load, and useful for everyone. Imagine visiting a website with attractive graphics, impressive animations, and modern layouts. Everything looks professional, but the text is difficult to read, buttons are confusing, images have no meaningful descriptions, and the website cannot be navigated properly using a keyboard.

• Brilliant write-up. The comparison between local VRAM constraints and how Claude Code deliberately restricts itself - even with massive compute behind it - is the exact reality check the local agent space needs. We often forget that having a token in context isn’t the same as the model actually reasoning over it effectively. Treating memory as an active curation problem (summaries, disk notes, and strict budgets) rather than a hardware problem makes local agents actually viable.

A monthly retainer can be the right way to fund SEO when the work genuinely recurs. The buying problem is that proposals often describe categories such as "ongoing optimization" without stating the volume, owner, implementation boundary, or evidence the client will receive. This guide separates recurring work from finite work, shows how to read a proposal, and explains when an audit or project is a better fit. The goal is not to avoid retainers.

For a long time, mobile automation has been much easier to demonstrate on Android than on iOS. Android has ADB, emulators, and relatively accessible automation tooling. iOS has a different set of constraints, especially when you want to interact with a physical device and the apps installed on it. But what if you could give an AI agent access to your actual iPhone, describe a task in plain English, and let it carry out the steps? That's what we've been working on at Mobilerun.

This is the third post from my n8n intake classifier, a practice project for a fictional automation agency that I built with an AI collaborator. The first was about the classification prompt. The second was about ambiguous, invalid and system_error. This one is about the wiring after classification: where logging goes, what the Gmail node does to your data, and a bug I only found by opening real inboxes. The workflow is in the GitHub repository.

By Jarno S., founder of AEOvara, Lappeenranta, Finland A small company rarely wins by publishing more pages than an established competitor. It can, however, publish a better answer to a narrower question. That is the useful opportunity behind Generative Engine Optimization (GEO): making expertise easier to discover, understand and substantiate when AI-powered search systems build an answer. The authority paradox is not that reputation has stopped mattering.