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#aicoding

2 posts2 participants1 post today
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Mark Headd

I've been working on a GitHub template to help developers build #LLMPowered agents that resist prompt injection and unsafe tool use. Because it's structured as a reusable template, users instantly get a solid foundation for creating a new app with security patterns baked in. It includes built-in instructions for GitHub Copilot, Cursor, and other AI coding tools.

Still early days, but lots of potential. github.com/mheadd/secure-agent

A GitHub template for building agentic applications powered by Large Language Models (LLMs) in Node + TypeScript - mheadd/secure-agentic-app-template-node
GitHubGitHub - mheadd/secure-agentic-app-template-node: A GitHub template for building agentic applications powered by Large Language Models (LLMs) in Node + TypeScriptA GitHub template for building agentic applications powered by Large Language Models (LLMs) in Node + TypeScript - mheadd/secure-agentic-app-template-node
#AI#Security#DevTools
Miguel Afonso Caetano

"Using multiple AI agents in tandem opens up impressive possibilities. “AI agents encode the wisdom of senior engineers and apply it universally,” Yahav says.

Looking to the future, Digital.ai’s To anticipates productivity gains with fewer errors and reduced cognitive load, as developers tap various agents for lower-level details. “As this space matures, multi-agent workflows will increase velocity by significantly reducing toil,” he says.

But doing this well will require clear boundaries around product requirements, coding standards, security policies, and more.

In short, AI tools require intention. “An agentic software development life cycle needs the same pillars that a high-performing human team does: a clear mission, a code of conduct, and shared knowledge,” adds Wang.

So, although we’re heading toward a future where developers manage a fleet of agents, early testers should prepare for a lot of trial and error. As Roeck puts it, “Get ready to fail. This isn’t baked yet.”"

infoworld.com/article/4035926/

InfoWorldMulti-agent AI workflows: The next evolution of AI codingInstead of working with a single coding agent, developers will soon realize gains by guiding a team of them.
#AI#GenerativeAI#AIAgents
jbz

🗣️ Hacker Plants Computer 'Wiping' Commands in Amazon's AI Coding Agent

｢ A hacker compromised a version of Amazon’s popular AI coding assistant ‘Q’, added commands that told the software to wipe users’ computers, and then Amazon included the unauthorized update in a public release of the assistant this month ｣

404media.co/hacker-plants-comp

404 Media · Hacker Plants Computer 'Wiping' Commands in Amazon's AI Coding AgentThe wiping commands probably wouldn't have worked, but a hacker who says they wanted to expose Amazon’s AI “security theater” was able to add code to Amazon’s popular ‘Q’ AI assistant for VS Code, which Amazon then pushed out to users.
#aicoding#promptinjection#cybersecurity
Jon Ippolito

Software innovation might be freezing in place—and AI could be to blame. Theo Browne points out that Copilot and ChatGPT often return React-style code even for Solid or Elixir projects. Why? Because they’ve seen React a million times more. Python 3 took a decade to overtake Python 2. If that transition had to happen today, would our dependence on AI suggestions keep us from making the jump?

linkedin.com/posts/jonippolito

#AIliteracy#Copilot#AIcoding
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