16:[[48003871,{"by":"maytc","descendants":2,"id":48003871,"kids":[48011919,48004031,48004334,48006264,48005168],"score":8,"text":"It’s not just this but it’s that. \nThis changes everything.\nThis, and this and that.

Reading this writing structure over and over is really starting to tire me out.","time":1777860788,"title":"Ask HN: Do you feel reading AI generated readme tiring?","type":"story"}],[47998124,{"by":"DannyHeng","descendants":1,"id":47998124,"kids":[47998149,48006238],"score":2,"text":"Are you giving your agents names and IDs, or keeping them strictly ephemeral? I’d love to hear from anyone building in this space.","time":1777823201,"title":"Do you think AI Agents need an identity?","type":"story"}],[47944894,{"by":"marcell","descendants":0,"id":47944894,"kids":[47945044],"score":3,"text":"I haven’t interviewed for a coding job in a while, not since before AI coding was a thing.

I’m wondering: if your interview process allows the use of tools like Claude and Codex, how do you differentiate candidates?

When I was doing interviews, you would be given some sort of problem statement, and 20 to 50 minutes typically to solve JT. Sometimes you might get a take home problem, or multiple hours to do it. The basic idea was always the same: write some code, and the interviewers judge the quality of your code.

There was a lot of debate about the fairness of these processes, but you couldn’t deny that they differentiated candidates. On any problem, some candidates did well and some did bad. They all produced different results.

With AI tools, all candidates presumably put in the same prompt (the interview problem statement). If you ask them follow up questions, they all presumably can ask that question to the same LLM.

So, beyond some basic floor, do interviews still differentiate candidates? How?","time":1777445000,"title":"Ask HN: How do you differentiate with AI coding interviews?","type":"story"}],[47924586,{"by":"vanburen","descendants":14,"id":47924586,"kids":[47925095,47928363,47929238,47925970,47926547,48093766,47933382,47931086,47931110,47924763,47925590],"score":33,"time":1777310924,"title":"Claude-powered AI coding agent deletes company database in 9 seconds","type":"story","url":"https://www.tomshardware.com/tech-industry/artificial-intelligence/claude-powered-ai-coding-agent-deletes-entire-company-database-in-9-seconds-backups-zapped-after-cursor-tool-powered-by-anthropics-claude-goes-rogue"}],[47930203,{"by":"kinrell","descendants":6,"id":47930203,"kids":[48063999,47930204,47931073],"score":1,"time":1777347176,"title":"ATS Resume Forge – an ATS-focused resume builder for job seekers","type":"story","url":"https://www.atsresumeforge.com/"}],[47920315,{"by":"yakkomajuri","descendants":338,"id":47920315,"kids":[47926781,47929900,47926053,47926232,47925921,47926115,47926229,47927814,47926236,47928233,47928083,47926132,47926185,47926942,47925998,47930997,47926151,47935616,47930770,47930699,47926249,47927877,47929383,47926171,47929030,47930567,47930407,47928404,47927850,47926445,47926908,47925898,47929733,47926790],"score":402,"text":"https://www.reuters.com/world/asia-pacific/china-blocks-fore...

https://www.bbc.com/news/articles/cj0v0gr2yz7o","time":1777290239,"title":"China blocks Meta's acquisition of AI startup Manus","type":"story","url":"https://www.cnbc.com/2026/04/27/meta-manus-china-blocks-acquisition-ai-startup.html"}],[47814216,{"by":"kathir05","descendants":0,"id":47814216,"kids":[47887904],"score":2,"text":"Definitely sourcing is one tough part but given today's social world with Linkedin, Naukri X, reddit, simple job post will get 1000 applicants.

Equally tough part is having minimal pipeline to manage applicants and find best hire from them.

Broken pipeline like accepting applicants via Google forms, HR emails might seem faster in the initial stages, but suffer in later stages

Downloading and managing offline resumes, outreaching applicants \nSharing profiles across client's team\nMoving across stages

will slow down process drastically, might leading to overlooking quality ones or even making bad hire.

Building an ATS for startups VS SMBs would be totally different game in terms of features and cost-value proposition.

Curious to know, how things are playing out in small startups, solo/lean HR agencies manage hiring pipeline.

Which tools are doing better in this space?","time":1776500800,"title":"Ask HN: How do small startups, solo/lean HR agencies manage hiring pipeline?","type":"story"}],[47722081,{"by":"nitramm","descendants":19,"id":47722081,"kids":[47724105,47722210,47723526,47722889,47726557,47736969,47745194,47733969,47733722,47723160,47771837,47727822,47887824,47735381,47726239,47726555,47727218],"score":29,"text":"$17","time":1775846869,"title":"Ask HN: Hiring in the age of AI-assisted coding: what works?","type":"story"}]]

user:	adithyan-rk
created:	January 13, 2022
karma:	2
about:	Building Hyring (hyring.com) - AI-powered interviews. Thinking about how AI can shrink weeks of hiring into hours.