Mastodawn

Das macht mich so traurig. Im Jahr 2026. Fritzbox zeigt die Verbesserungen und neuen Eigenschaften für das Repeater-Update und verbaselt das Textencoding als hätten wir 1999.😩

#avm #fritzbox #softwareQuality

sayzard 4d ago

Show HN: Agent Postmortem Skill – Force AI coding agents to prove their work

agent-postmortem-skill은 AI 코딩 에이전트가 작업 완료를 주장할 때 실제 증거를 제시하도록 강제하는 오픈소스 검증 도구입니다. git 상태, diff, 명령어 실행 결과 등 하드 신호를 수집해 작업 완료 여부를 검증하며, 거짓 완료 상태를 사전에 차단해 품질을 표준화합니다. 모든 셸 명령 실행과 git 상태 확인이 가능한 코딩 에이전트와 호환되며, 작업 후 검증 리포트를 생성해 공유 및 감사가 가능합니다. CI를 대체하지 않고, 에이전트의 작업 주장에 대한 집중적인 거짓 탐지 기능을 제공합니다.

https://github.com/plus8bit/agent-postmortem-skill

#aiagent #verification #softwarequality #opensource #postmortem

GitHub - plus8bit/agent-postmortem-skill

Contribute to plus8bit/agent-postmortem-skill development by creating an account on GitHub.

GitHub

sayzard 6d ago

Debt Behind the AI Boom: A Large-Scale Study of AI-Generated Code in the Wild

이 논문은 AI 코딩 어시스턴트가 실제 소프트웨어 개발 현장에서 생성한 코드가 장기적으로 기술 부채를 유발하는지를 대규모로 분석했다. 6,299개 GitHub 저장소에서 30만 건 이상의 AI 생성 커밋을 추적해 코드 냄새, 정확성 문제, 보안 이슈 등 48만 건 이상의 문제를 발견했으며, 이 중 22.7%는 최신 버전까지도 해결되지 않고 남아있음을 확인했다. AI 생성 코드는 생산성 향상에 기여하지만, 품질 보증과 유지보수 비용 증가라는 과제도 함께 존재함을 시사한다.

https://arxiv.org/abs/2603.28592

#aigeneratedcode #technicaldebt #softwarequality #github #codeanalysis

Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild

AI coding assistants are now widely used in software development. Software developers increasingly integrate AI-generated code into their codebases to improve productivity. Prior studies have shown that AI-generated code may contain code quality issues under controlled settings. However, we still know little about the real-world impact of AI-generated code on software quality and maintenance after it is introduced into production repositories. In other words, it remains unclear whether such issues are quickly fixed or persist and accumulate over time as technical debt. In this paper, we conduct a large-scale empirical study on the technical debt introduced by AI coding assistants in the wild. To achieve that, we built a dataset of 302.6k verified AI-authored commits from 6,299 GitHub repositories, covering five widely used AI coding assistants. For each commit, we run static analysis before and after the change to precisely attribute which code smells, correctness issues, and security issues the AI introduced. We then track each introduced issue from the introducing commit to the latest repository revision to study its lifecycle. Our results show that we identified 484,366 distinct issues, and that code smells are by far the most common type, accounting for 89.3% of all issues. We also find that more than 15% of commits from every AI coding assistant introduce at least one issue, although the rates vary across tools. More importantly, 22.7% of tracked AI-introduced issues still survive at the latest version of the repository. These findings show that AI-generated code can introduce long-term maintenance costs into real software projects and highlight the need for stronger quality assurance in AI-assisted development.

arXiv.org

sayzard Apr 27

やねうら王 (@yaneuraou)

코딩 AI가 쇼기 AI의 버그를 연속적으로 찾아내는 사례를 다룬 글이 소개되었다. AI가 다른 AI 시스템의 품질 문제를 자동으로 발굴하는 방향으로 발전하고 있으며, 소프트웨어 품질 개선과 검증 자동화 측면에서 의미 있는 흐름이다.

https://x.com/yaneuraou/status/2048598232440426544

#codingai #bugfinding #shogi #softwarequality #aiverification

やねうら王 (@yaneuraou) on X

Coding AIが将棋AIのバグを続々と見つけている件をブログで取り上げました。 > 「2026年は(過去から受け継いだ)ソフトウェアの品質が飛躍的に向上した年」 > Mythosが脆弱性をバンバン発見するとして(中略)「Mythosに備えて」なんて言ってる奴らは全員エアプ https://t.co/ucGHxVQl5Z

X (formerly Twitter)

zimpenfish Apr 24

Zigbee devices, whilst ostensibly easier to deal with (no apps for Bluetooth pairing, no stray wifi credentials) have a teensy flaw: it turns out that they, in general, are absolute bog arse for software quality.

Case in point: luminance sensor A says 2050lx just now. Sensor B says 45lx. They are, of course, sat next to each other, pointing at the same window.

Case in point: Roller blind controller says its surrounding temperature is 60ºC. I assure you it is not - this room is a warmish 19ºC.

#HomeAssistant #Zigbee #SoftwareQuality

Michael Loistl Apr 23

Spent an hour today reviewing code the AI agents wrote this week. More drift than I expected. Not wrong, just... inconsistent. Conventions slowly becoming suggestions.

#AI #vibecoding #softwarequality

activistPnk Apr 22

Does AI-driven bug finding software threaten to make closed-source s/w better than FOSS?

https://slrpnk.net/post/36883124

InfoQ Apr 21

Discover how #Meta improved #SoftwareQuality with a Just-in-Time (JiT) testing approach that dynamically generates tests during code review.

The system increases bug detection by approx 4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff.

More on #InfoQ ⇨ https://bit.ly/4tqylKc

#SoftwareArchitecture #SoftwareTesting #AI #LLMs #CodeReviews

Michael Nordmeyer Apr 18

My VSCode hang again, and I had to quit it. Like it does at least once a day in the last week. And then I have to rearrange all windows on virtual desktops again. And again…

I don’t know if this is because of the dozen projects I have open at the same time, currently many Python ones which use automatic VSCode Python stuff, or because of Microslop being very productive. But it sucks.

#VSCode #AI #SoftwareQuality #Microsoft #Microslop

Show thread

Jan Van Ryswyck Apr 16

It’s striking how many organisations still struggle to identify quality problems as early as possible. I always find it fascinating what these older books can still teach us. It’s a reminder that while technology evolves, the fundamentals of good software engineering remain timeless. Perhaps the real challenge isn’t learning new tools, but remembering the lessons we’ve already been taught. (2/2)

#testing #qa #softwarequality