Hacker News

They hated Jesus because he told them the truth. Also see: The Streisand Effect of Flagged Hacker News Posts: https://www.youtube.com/watch?v=rkhrf5MNYRk

I will not have my posts be flagged. I will be heard.

Comments URL: https://news.ycombinator.com/item?id=43891265

Points: 1

# Comments: 0

Article URL: https://theconversation.com/how-your-mouth-could-be-killing-your-heart-254860

Comments URL: https://news.ycombinator.com/item?id=43891248

Points: 1

# Comments: 0

I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions.

MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my professional background and a set of tools, prompts and resources to help explore my skills and experiences.

The code is open source, so you can create your own AI-driven resume server. Check it out here: https://github.com/jhgaylor/node-candidate-mcp-server.

During my job search I paired my mcp server with others such as notion, hirebase, and gmail to build a leads database, write cover letters, and track my job search.

Comments URL: https://news.ycombinator.com/item?id=43891245

Points: 2

# Comments: 0

I've recently updated llm-exe, a modular TypeScript library built specifically to simplify creating applications with Large Language Models (LLMs). The package allows you to call LLM's from various providers without changing the underlying code.

The library focuses on a structured, lightweight, modular design that lets developers easily assemble complex workflows from reusable components:

Prompts: Structured templating for managing sophisticated prompts with built-in Handlebars support.

Parsers: Components that transform raw LLM responses (strings) into structured data, supporting JSON, arrays, enum extraction, and custom parsing logic.

LLM Providers: Abstracted interfaces for various providers, including OpenAI, Anthropic, xAI, Google Gemini, AWS Bedrock, and Ollama, allowing seamless switching without changing implementation logic.

Executors: The LLM executor takes an llm, a prompt, optionally a parser, and wraps in a well-typed function. An LLM executor is a container that can be used to call an LLM with a pre-defined input and output; with additional values provided at the time of execution. An LLM executor's input and output types are determined by the prompt and parser respectively.

Utilities: Helpers for common tasks such as prompt debugging, caching, and managing conversation state.

Here's how you might create a structured executor:

--- import { createLlmExecutor, createChatPrompt, createParser, useLlm } from 'llm-exe';

const llm = useLlm("openai.gpt-4o-mini");

const prompt = createChatPrompt<{input: string}>('Translate the phrase "{{input}}" into French, Spanish, and German, returning the results as an unordered markdown list.');

const parser = createParser('listToArray');

const translateExecutor = createLlmExecutor({ llm, prompt, parser });

// result is typed as string[]

// the input is also well-typed!

const result = await translateExecutor.execute({ input: "Hello, world!" });

console.log(result);

// Outputs: ["Bonjour le monde!", "¡Hola, mundo!", "Hallo, Welt!"] ---

Check out the documentation and more examples here: llm-exe.com. I'd love your feedback or contributions!

Comments URL: https://news.ycombinator.com/item?id=43891162

Points: 1

# Comments: 0

Article URL: https://wikidive.tulv.in/

Comments URL: https://news.ycombinator.com/item?id=43891147

Points: 3

# Comments: 2

Article URL: https://www.livescience.com/technology/electric-vehicles/self-driving-cars-can-tap-into-ai-powered-social-network-to-talk-to-each-other-while-on-the-road

Comments URL: https://news.ycombinator.com/item?id=43891142

Points: 1

# Comments: 0

Article URL: https://rickiheicklen.com/unparalleled-misalignments.html

Comments URL: https://news.ycombinator.com/item?id=43891128

Points: 1

# Comments: 0

Hi HN,

We built AgentShield, a Python SDK and CLI to add a security checkpoint for AI agents before they perform potentially risky actions like external API calls or executing generated code.

Problem: Agents calling arbitrary URLs or running unchecked code can lead to data leaks, SSRF, system damage, etc.

Solution: AgentShield intercepts these actions:

- guarded_get(url=...): Checks URL against policies (block internal IPs, HTTP, etc.) before making the request.

- safe_execute(code_snippet=...): Checks code for risky patterns (os import, eval, file access, etc.) before execution.

It works via a simple API call to evaluate the action against configurable security policies. It includes default policies for common risks.

Get Started:

Install: pip install agentshield-sdk

Get API Key (CLI): agentshield keys create

Use in Python: from agentshield_sdk import AgentShield # shield = AgentShield(api_key=...) # await shield.guarded_get(url=...) # await shield.safe_execute(code_snippet=...)

Full details, documentation, and the complete README are at https://pypi.org/project/agentshield-sdk/

We built this because securing agent interactions felt crucial as they become more capable. It's still early days, and we'd love to get your feedback on the approach, usability, and policies.

Comments URL: https://news.ycombinator.com/item?id=43891111

Points: 2

# Comments: 1

Article URL: https://modula2.awiedemann.de/

Comments URL: https://news.ycombinator.com/item?id=43891100

Points: 2

# Comments: 0

Article URL: https://www.nature.com/articles/s41588-025-02117-1

Comments URL: https://news.ycombinator.com/item?id=43891069

Points: 1

# Comments: 0

Article URL: https://en.wikipedia.org/wiki/Goodput

Comments URL: https://news.ycombinator.com/item?id=43891044

Points: 1

# Comments: 0

Article URL: https://www.thefp.com/p/a-fifth-of-american-adults-cant-read-i-teach-them

Comments URL: https://news.ycombinator.com/item?id=43891043

Points: 6

# Comments: 1

Article URL: https://reposter.social

Comments URL: https://news.ycombinator.com/item?id=43891031

Points: 1

# Comments: 2

Article URL: https://soatok.blog/2024/07/21/my-furry-blog-has-lasted-longer-than-the-confederacy/

Comments URL: https://news.ycombinator.com/item?id=43890998

Points: 3

# Comments: 1

Article URL: https://blog.sanfranciscan.org/2025/05/04/before-our-attention-was-a-commodity/

Comments URL: https://news.ycombinator.com/item?id=43890973

Points: 1

# Comments: 0

Article URL: https://www.bdcnetwork.com/home/news/55287607/balcony-solar-has-proven-wildly-popular-in-germany-but-us-isnt-ready

Comments URL: https://news.ycombinator.com/item?id=43890908

Points: 1

# Comments: 0

Article URL: https://www.ansiblepilot.com/articles/mastering-time-in-ansible-the-now-function

Comments URL: https://news.ycombinator.com/item?id=43890906

Points: 1

# Comments: 0

Article URL: https://hackaday.com/2025/05/03/llm-ported-to-the-c64-kinda/

Comments URL: https://news.ycombinator.com/item?id=43890901

Points: 1

# Comments: 0

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Comments URL: https://news.ycombinator.com/item?id=43890897

Points: 1

# Comments: 0

Article URL: https://listofremotejobs.com/

Comments URL: https://news.ycombinator.com/item?id=43890856

Points: 1

# Comments: 2