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33 writings found
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The Axios Attack: When Social Engineering Becomes Your Supply Chain's Weakest Link
A sophisticated social engineering attack compromised Axios maintainer credentials through fake job interviews. Every open source maintainer needs to know this.
The Axios Attack: Why Social Engineering is Now the Biggest Threat to Open Source
A sophisticated supply chain attack on Axios used fake job interviews to install malware. Every open source maintainer needs to understand this threat.
Building macOS Apps Without Knowing Swift: What Vibe Coding Actually Teaches Us
I built two monitoring tools for my M5 MacBook using Claude and GPT without writing Swift myself. The results work, but should they?
Starlette 1.0 and the Problem of Training Data Obsolescence
Starlette finally hits 1.0, but breaking changes expose a fascinating problem: how do you make LLMs generate code for frameworks they weren't trained on?
Starlette 1.0 and the Problem of Teaching AI New Tricks
Starlette finally hits 1.0, but breaking changes expose a fascinating challenge: how do you get LLMs to generate code for versions they weren't trained on?
Starlette 1.0 and the curious case of teaching AI new tricks
Starlette finally hits 1.0, but what happens when your LLM was trained on outdated code? Claude's new skills feature might just solve that problem.
The Uncomfortable Ease of Profiling Users Through Their Public Comments
Building a tool to profile Hacker News users with LLMs reveals how much we leak through casual comments, and raises questions about digital footprints.
OpenAI Acquires Astral: What This Means for Python's Future
OpenAI's acquisition of Astral (uv, ruff, ty) raises questions about open source strategy, developer tools, and the coding agent wars with Anthropic.
LLMs Don't Actually Push You Toward Boring Technology
Coding agents work surprisingly well with new, undocumented tools. The 'training data bias' concern might be overstated in 2026.
LLMs Don't Actually Care About Your Tech Stack
Modern coding agents work surprisingly well with new tools and private codebases, challenging the assumption that they're biased toward mainstream tech.
Why Coding Agents Might Not Lock Us Into Boring Technology After All
Modern LLMs can learn new tools on the fly through documentation and examples. The feared training data bias might be less of an issue than we thought.
LLMs Don't Care About Your Tech Stack Anymore
Modern coding agents work surprisingly well with new and obscure tools. The fear that AI would lock us into boring, popular tech seems outdated.
Can AI Coding Agents Legally Relicense Open Source Code?
A Python library maintainer used Claude to rewrite LGPL code under MIT. The original author says that's illegal. Who's right?
I Built My Dream Presentation App in 45 Minutes With AI-Assisted Coding
Why vibe coding a custom macOS app taught me more about AI-assisted development than a thousand tutorials ever could.
Vibe Coding a Mac App in 45 Minutes: What This Says About Development in 2026
Building a custom presentation app overnight shows how AI coding tools are reshaping what's possible for developers willing to explore unfamiliar territory.