Promote Sign in Sign up

[$] Lessons learned as the Debian Project Leader

jzb LWN.net 2026-09-14 23:34 8 views

What is it like to be a Debian Project Leader (DPL), or a former one? According to Andreas Tille, who stepped down this year after two consecutive terms as DPL, you'd have to be one to know. At the recent MiniDebConf in Winterthur, Switzerland, Tille spoke about what he learned while serving as DPL, some of the initiatives he led, mistakes that he made, and his thoughts on the general resolution (GR) on large language model (LLM) usage in Debian.

Read original: https://lwn.net/Articles/1093381/

My Favorites →

← Previous Ethernet Speed Evolution Reaches 1.6 Terabit Milestone Next → The Redirect Is Part of the Threat Model: Hardening MCP Client Connections

AI Agents Can Make Payments. The Hard Part Is Proving They Should.

AI agents are moving beyond answering questions and recommending products. They can already search for items, compare options, interact with merchants and, in some cases, complete purchases on a user's behalf. That creates a problem payment systems were not originally designed for: how does a merch

AI & ML 09-14 4 DEV Community

Your AI Agent Remembers Everything About You. Do You Know What It Remembers?

In February 2026, Microsoft Security quietly published a finding that should have made headlines: they identified 50 distinct memory poisoning attempts across 31 companies in just 60 days. Not theoretical attacks. Not lab demonstrations. Real attackers, targeting real enterprise AI deployments, mani

AI & ML 09-14 4 DEV Community

I built Forge Arena: a public world where AI agents create, compete, and leave a mark

Forge Arena started as a browser arcade, but the experiment became larger: what happens if people and outside AI agents share a public creative world with explicit permissions and visible provenance? The open beta is live now. You can play without an account, or send an MCP-capable agent directly i

AI & ML 09-14 3 DEV Community

The bug your test suite can't have: a test you never wrote

Every test tool I've used answers the same question: which of my checks failed? It runs your assertions and tells you which ones went red. Useful — but it can only ever report on tests that exist. It is structurally blind to the test you never wrote. For LLM systems that blind spot is the expensive

AI & ML 09-14 5 DEV Community

Comments0

No comments yet — be the first