LEXXIT
LEXXIT-AI test automation platform
What it does
LEXXIT is an AI-powered quality engineering and test automation company, helping teams move beyond brittle test scripts to self-healing automation, continuous quality checks, and real QA transformation, so QA stops firefighting maintenance and starts focusing on what actually ships.
Test smarter & accelerate releases with AI-driven, script-free automation. LEXXIT is the leading AI testing platform for modern QA teams.
LEXXIT AI began in the middle of real release nights when code was ready, but confidence wasn’t. We watched teams wait on testing, regression cycles stretch for days, and critical risks surface at the last moment. Momentum slowed, and quality felt uncertain. So we built something different. Grounded in ISO/IEC42001:2023 certified processes and powered by adaptive AI. LEXXIT AI learns continuously, prioritises what matters most, and safeguards every release turning testing into a quiet strength behind faster, safer, more confident innovation. Today’s enterprises run on interconnected platforms like SAP, Salesforce, cloud applications, and custom systems where a single break can impact…from lexxit.ai
Does the same job
all alternatives →
More dev tools this month
the category →
Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com