Show HN: Conduct, open-source guardrails for LLM and MCP tool calls
Top Hacker News discussion.
github
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Feature
Open Source Tool Automates 90% of Video to Vertical Clips Workflow
Developers can streamline video editing tasks, but questions about integration and reliability remain.
Why it mattersThis development highlights the shift towards automation in content creation workflows. For developers, it signals new challenges in integrating open-source tools with existing systems and ensuring reliability and adaptability in diverse environments.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
Guardrails and AI Discipline
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
Top Hacker News discussion.
arxiv
AI Agents: What Are They Up To?
My Claude Code agent ran for 40 minutes while I got coffee. I have no idea what it actually did.
Came back, the refactor worked, tests passed, I was happy for about five minutes. Then I wondered: what did it actually touch? What did it read? Did it open my .env ? Did it call anything outside the repo? I had... noth…
r/AI_Agents
Are companies overdoing AI support?
I feel like every company wants an AI agent handling support now, I get it for basic stuff but I wonder where the line is, if a customer has a messy issue or is already pissed off then forcing them through AI I think it…
r/AI_Agents
Tools
DietrichGebert/ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 115,338
zhaoxuya520/reverse-skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base S…
github | stars 30,131
Build
Terminal-Bench-Science: Evaluating AI agents on scientific research workflows
Top Hacker News discussion.
terminal-bench-science
KHMS – a file-based long-term memory an LLM agent installs into itself
Top Hacker News discussion.
github
Research
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables agents to progress…
arxiv
Verify Smarter, Evolve Further: Efficient Harness Evolution through Behavior-Aware Verification
Agent harnesses shape how language-model agents use instructions, tools, and runtime components, but adapting these harnesses requires costly verification. Existing propose-and-verify methods typically score every candi…
arxiv
RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text generation alone. Exis…
arxiv
Playbooks
Discover Agent Skills from MCP servers in .NET
Your agents can now discover and load Agent Skills directly from a Model Context Protocol (MCP) server. Instead of shipping every skill inside your application or copying skill folders into each deployment, you point an…
devblogs.microsoft
Evals Skills for Coding Agents
Today, Shreya Shankar and I are publishing evals skills , a set of skills for AI product evals 1 . Eval tools often get in the way. They nudge you toward generic off-the-shelf metrics and fully automated evals before yo…
hamel
How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith
See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering…
langchain
News
Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components
Learn how Salesforce used Amazon SageMaker AI Inference Component placement (the SchedulingConfig parameter) to distribute model copies across multiple Availability Zones, meeting their Multi-AZ high availability compli…
aws.amazon
Colin Walters: For agentic code execution, generic tools + skills and sandbox
If your agentic workload involves the agent being able to run arbitrary code (like bash or equivalent), then you should not use a “LLM as part of your app” framework like LangChain, BeeAI, OGX etc. Instead, run OpenCode…
blog.verbum
Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics
Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor container. Deepgram closes that gap on Amazon SageMaker AI with two ca…
aws.amazon