Developer Tools10 hours ago
FlexInference: Drop your AI costs today
Route LLM requests across OpenAI, Gemini, and Anthropic to optimize cost and meet latency targets.
Aperswal · HN
Made a Free LLM Router
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60 projects
Route LLM requests across OpenAI, Gemini, and Anthropic to optimize cost and meet latency targets.
Aperswal · HN
Made a Free LLM Router
Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff
Copy-paste 60 website widgets including 12 AI agents—chat, search, booking, voice—no signup required.
@TiyebDomainking · X
The AI widgets your site is missing.
Free platform for testing, monitoring, and analyzing APIs with real-time insights.
@SajidAbuba74138 · X
A tool for developers
Join a community of AI professionals and researchers to share knowledge, discover groups, and build your AI career.
@NexusAiForum · X
Creates app blueprints and starter repos from your ideas for AI code editors.
@GuidedBase · X
Monitor AI costs by feature, forecast spending, and set guardrails for your team.
@eastbase_studio · X
Autonomously design, build, and deploy software systems.
@Bim_evaporates · X
Check out DMs open
Enable AI agents to interact with your website and track their actions from a dashboard.
not_wowinter13 · HN
Make any website agent-ready in one script tag
Deploy AI agents that automate enterprise workflows by understanding your business logic.
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
Compare and benchmark SaaS APIs with independent verified data to make informed build-vs-buy decisions.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
Use AI code review that runs code in microVMs to catch more bugs faster.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db