@edgex11lz · X

u/OGMYT · Reddit

Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

@durdom_evm · X

Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0

zhiheng_huang · HN

Sharper – an AI office agent grounded in your knowledge, with citations

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

@krzyknightgod · X

abskrj · Product Hunt

Velane Cloud for your AI Agent's tools and functions

@soleil_colza_ · X

@suhaaspk · X

Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep

heywitt · HN

UnUI – Help coding agents make better design decisions

@BotbaseAi · X

We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS

@Ajathinfotech · X

How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents