... ticket and a person. A stage funnel that shows exactly where agent work passes and where it drops off. Agents move fast. HAR HQ makes sure everything they ship clears your gates first, from tests and secret scans to SAST, license checks, and policy validation. The core stays open. HQ is for teams that need to run it at scale. Take a look https://harproject.dev/enterprise/ Would love to get your support & feedback :D Cheers ...

... ticket and a person. A stage funnel that shows exactly where agent work passes and where it drops off. HAR HQ makes sure everything your agents ship clears your gates first, from tests and secret scans to SAST, license checks, and policy validation. Would love to get your support & feedback :D Cheers ...

... What it does: - blocks dangerous code (eval, subprocess, unsafe execution) - redacts secrets (API keys, credentials) - enforces policies during generation Why this matters: AI is now writing real production code. But security workflows are still built for post-generation analysis (SAST, reviews, etc). That gap is where insecure code slips through. CAST closes that gap. Works across: - OpenAI-compatible models (xAI, DeepSeek, LLaMA) - GPT - Claude - Gemini Same engine. Same enforcement. No plugin required. Just run it as a local proxy between ...

... scores without accountability. It combines deep repository visibility with hard CI/CD enforcement to answer two questions with certainty: What is actually in my code? Should this be allowed to ship yes or no? --- ### Auditor Core Baseline A CLI-first SAST engine designed for large, real-world repositories. It scans code, secrets, IaC, and CI/CD configs using a streaming engine and baseline awareness , so teams see only new security regressions not the same noise on every run. No telemetry. No call ...

... Rybbit @Parallax by Gradient @OpenStatus @Open SaaS   2.0 Current and past launches @Skyvern  launched on October 31st @Parallax by Gradient  launched on October 29th, ranked #1 Product of the Day @GhostForge  launched on October 29th @SAST  launched on October 29th @Conduit  launched on October 28th @Kodus  launched on October 27th @TheBoringNotch  launched on October 26th, ranked #3 Product of the Day @Flipt Cloud  launched on October 26th, ranked #4 Product ...

... where it falls short I ve seen issues like exposed endpoints, weak auth, and misconfigured services way too often. What works for me is treating AI code as a draft, then doing manual security reviews + running basic scans (SAST, dependency checks). Also relying on standard security practices instead of AI suggestions. Your Elastic example is spot on bots will find anything exposed within days. This breakdown of vibe coding security risks is also pretty useful if you're exploring this ... ... Priyanshu Singh(@priyanshu_singh23): Yeah, same issue. AI gets you to working fast, but not safe. What helped me was assuming everything AI writes is insecure by default. Basic flow now: generate review auth + access control manually run dependency + SAST