FAAST
Full agentic application security testing
FAAST launched on April 25, 2025 with 13 votes, #2,155 of 7,818 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
FAAST is an AI agent for security testing that combines SAST and DAST for web applications. It makes the link between both by providing the results of SAST to the DAST, by understanding how to reach each vulnerability.
Prototype of Full Agentic Application Security Testing, FAAST = SAST + DAST + LLM agents - yacwagh/FAAST
FAAST is an AI agent for security testing that combines SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) for web applications. It makes the link between both by providing the results of SAST to the DAST, by understanding how to reach each vulnerability. Note : for now it's a POC that works in a few cases, the goal is to generalize the concept to detect many more vulns, understand how to reach them dynamically, and exploit them. Static Analysis (SAST): Uses LLM to identify vulnerabilities in the source code, but the architecture is modular so that it can use any traditional SAST tool. Saves the context of each vulnerability to know how to reach it…from github.com
Does a similar job
all alternatives →
Astra Autonomous PentestJun 2026 · getastra.com · ▲406AI agents that find, validate, and fix every vulnerability

Open-Source Agentic QA Harness with MemoryMay 2026 · vostride.com · ▲18GitHub - https://github.com/vostride/agent-qa Live Demos - https://vostride.com/demo/agent-qa
Quell's UAT AI Agent Platform2025 · quellit.ai · ▲90After years of frustration dealing with slow, costly, and error-prone manual User Acceptance Testing (UAT) at fintechs, I built Quell—-a platform that auto-generates and executes UAT test cases using cross-functional AI experts (e.g. compliance, UX, operations, QA). Quell integrates seamlessly into workflows (Jira, Linear, GitHub), cuts down manual UAT process time by ~80%. I’m excited to get your feedback and answer any questions. Try it free here: quellit.ai Alex [email protected]
New Agentic AI Framework in CNCF2025 · github.com · ▲23Hi, I'm a Dapr CNCF project maintainer. We've recently released Dapr Agents which provides agentic AI features together with built-in durable execution to guarantee statefulness and reliable agentic workflows that run to completion and retry upon failure. It runs natively on Kubernetes, has built-in OTEL integration and uses a lightweight architecture where agents scale to zero, allowing you to run thousands of agents on commodity hardware. It'd be great if you can test it out and give us feedback.
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, April 2025
the whole month →
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com

The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.
Life & fun · 2025 · filiph.github.io

https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com


