Today's digest · Saturday, August 15

The 10 things in AI/dev today.

LiveNext issue at 7:00 CET

Stories

#1 / TODAY

DEV Community·1 min·3h agoFREE

What Did That Free-Model Setup Script Actually Do? Audit It With Honeypot Files and Syscall Traces

A DEV Community article describes auditing a free-model setup script using honeypot files and syscall traces. The technique involves placing decoy files and monitoring system calls to reveal what the script actually does. The article provides a method for developers to verify the behavior of untrusted setup scripts before running them.

This technique helps developers safely vet untrusted setup scripts before execution, reducing security risks.

securityauditingsyscallshoneypot

dev.to

What Did That Free-Model Setup Script Actually Do? Audit It With Honeypot Files and Syscall Traces

Build a Privacy Filter Before Your AI Agent Remembers User Actions

#2 / TOP STORY

DEV CommunityFREE

Build a Privacy Filter Before Your AI Agent Remembers User Actions

A DEV Community article by Jack M. Singularity presents a guide on building a privacy filter for AI agents that remember user actions. The piece emphasizes the need to filter sensitive data before an agent stores it. It likely includes code examples and architectural advice for implementing such a filter, though the full text is not provided.

Deploying Qwen3.8-2.4T-A95B with vLLM: Verified GPU Pods, Quants, and Serving Recipes

#3 / TOP STORY

DEV CommunityFREE

Deploying Qwen3.8-2.4T-A95B with vLLM: Verified GPU Pods, Quants, and Serving Recipes

A DEV Community post details deploying the Qwen3.8-2.4T-A95B model with vLLM, covering verified GPU pods, quantized versions, and serving recipes. The article provides practical guidance for running this large-scale model, including configuration steps and deployment considerations. It appears to be part of a themed challenge, given the retro styling in the source.

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// Worth knowing7 stories

Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge

Custom reward functions give developers finer control over multi-turn RL training, enabling task-specific optimization.

awsreinforcement-learningnova-forge

AWS ML Blog15h ago1mFREE

GLM-5.3 didn’t change the base model — where did its coding gains come from?

Post-training can significantly boost coding performance without changing the base model, offering a cost-effective path for model improvement.

glmpost-trainingcodingai

The New Stack15h ago1mFREE

How to bring your software delivery workflow into GitHub with agent apps

Developers can centralize software delivery in GitHub using agent apps, potentially streamlining automation.

githubagentsworkflowcopilot

GitHub AI & ML15h ago1mFREE

What I Learned Stealing Ideas from Matt Pocock’s `.agents` Directory

Developers can learn practical patterns for organizing AI agent directories from an experienced developer's setup.

agentsaidevelopmentworkflow

DEV Community3h ago1mFREE

Finding, Verifying, and Adapting the Right Skills for Your Project

Helps developers ensure their skills match project needs, improving efficiency and success.

skillsproject-managementdevelopment

DEV Community3h ago1mFREE

Maximizing the value of your Claude Code sessions

Anthropic published guidance on maximizing Claude Code sessions, indicating ongoing development of its coding assistant.

claudeanthropiccoding-assistant

Hacker News14h ago1mFREE

The Modern Attack Chain: Rethinking Google Workspace Security in the Age of AI

Developers must adapt security strategies for AI-driven threats to Google Workspace.

ai-securitygoogle-workspaceattack-chain

BleepingComputer17h ago1mFREE

// Yesterday5 stories