@0xLingjieKong · X

Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

ephraimduncan · HN

Observability for Coding Agents and LLM Applications

@DavidFilbey · X

I Built primarily using models from @AnthropicAI. However, I’m now completely unable to use any of the models to continue working on this app due to the extremely aggressive censorship and “guardrails” implemented. I have a premium subscription to Claude Code and Cursor. I’m curious to know if @cursor_ai or @AnthropicAI can provide a solution to allow me to continue using Anthropic models to develop legitimate security software products. Alternatively, I’d appreciate any recommendations you may have.

@theshaunak_twit · X

@guhanvenkaty · X

Tako's free preview is live: Paste your URL, get a security verdict on your vibe-coded app in 60s. Not an AI wrapper: it fires real requests and PROVES exposure, pulling data from your open DB with no login. Scanning puts you on the early-access waitlist.

@Timemindai · X

@markoradotme · X

@alencristen · X

@techfan_talos · X

u/inc_23 · Reddit

Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

@devtet_mon · X

Building DevTet — monitoring + maintenance reports for web agencies. It helps agencies prove the value of website maintenance with uptime, SSL/domain, ping, key monitoring, WordPress maintenance log, WP plugin, Client groups and branded client reports.

@MarwanMaherH · X