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New Feature (1/3): Vision-Based Bug Detection 👀 Razer QA Companion-AI analyzes captured gameplay footage and auto-generates structured bug reports with repro details, eliminating manual QA documentation. Try it now:

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RazerAI

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15,414 просмотров • 6 месяцев назад •via X (Twitter)

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The future of gaming is here at with our new AI technologies showcased at #GDC2026: ➡️Razer AVA: Agentic desktop companions that execute real workflows ➡️Razer QA Companion-AI: Vision-based gameplay bug detection to accelerate game QA Which one's your favourite? Tell us in the comments 🔽
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The future of gaming is here at with our new AI technologies showcased at #GDC2026: ➡️Razer AVA: Agentic desktop companions that execute real workflows ➡️Razer QA Companion-AI: Vision-based gameplay bug detection to accelerate game QA Which one's your favourite? Tell us in the comments 🔽

RazerAI

19,775 просмотров • 5 месяцев назад

QA Companion-AI, made easy: AI-enhanced bug reporting catches hard-to-detect issues like enemy health inconsistencies and automatically generates clear bug reports—so your QA team can focus on testing, not paperwork. Accelerate your #QA testing today.
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QA Companion-AI, made easy: AI-enhanced bug reporting catches hard-to-detect issues like enemy health inconsistencies and automatically generates clear bug reports—so your QA team can focus on testing, not paperwork. Accelerate your #QA testing today.

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1/3 of development time goes to QA - but it doesn’t have to. Razer QA Co-AI is an intelligent QA companion that can help: 1. Cut QA time 2. Reduce dev costs 3. Launch bug-free games on time See why QA Co-AI should be your new QA sidekick. Learn more:
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1/3 of development time goes to QA - but it doesn’t have to. Razer QA Co-AI is an intelligent QA companion that can help: 1. Cut QA time 2. Reduce dev costs 3. Launch bug-free games on time See why QA Co-AI should be your new QA sidekick. Learn more:

RazerAI

18,160 просмотров • 10 месяцев назад

QA Companion-AI, made simple. Set thresholds and start testing. Red markers flag issues in real time, auto-generating bug reports with video. Surface hidden GPU/CPU spikes and produce objective optimization data. Accelerate your QA testing now at
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QA Companion-AI, made simple. Set thresholds and start testing. Red markers flag issues in real time, auto-generating bug reports with video. Surface hidden GPU/CPU spikes and produce objective optimization data. Accelerate your QA testing now at

RazerAI

13,329 просмотров • 6 месяцев назад

New Feature (2/3): AI Test Case Generation 📋 With Razer QA Companion-AI, turn your requirements or GDD into functional, negative, and boundary test cases in minutes. No more starting from scratch. Test your games smarter now at
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New Feature (2/3): AI Test Case Generation 📋 With Razer QA Companion-AI, turn your requirements or GDD into functional, negative, and boundary test cases in minutes. No more starting from scratch. Test your games smarter now at

RazerAI

13,332 просмотров • 6 месяцев назад

At Razer, we’ve always pushed the boundaries of gaming, and now we’re bringing that same spirit of innovation to AI. Coming soon to AWS Marketplace, Razer AI Game Developer tools are designed to help studios accelerate QA testing, streamline development and scale globally.
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At Razer, we’ve always pushed the boundaries of gaming, and now we’re bringing that same spirit of innovation to AI. Coming soon to AWS Marketplace, Razer AI Game Developer tools are designed to help studios accelerate QA testing, streamline development and scale globally.

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25,592 просмотров • 1 год назад

🚀 Meet KaneAI TestMu AI the next-generation AI-powered testing assistant for modern QA teams. KaneAI helps teams plan, author, and evolve end-to-end tests using natural language, turning requirements directly into executable code. Built for enterprise-scale complexity, it handles sophisticated workflows across all major programming languages and frameworks. QA teams often face hurdles like rapid development cycles, test case debt, and complex framework management. KaneAI addresses these challenges by: ✅ Generating structured test cases from text, JIRA, PDFs, images, audio, video, or spreadsheets ✅ Enabling complex testing workflows with natural language ✅ Supporting multi-language code exports and deep integrations with JIRA and GitHub ✅ Automating API and database testing, smart versioning, and auto bug detection ✅ Self-healing tests for UI changes and flexible manual interaction KaneAI augments QA teams, boosting productivity, reducing errors, and helping teams focus on outcomes rather than repetitive tasks. Learn more about KaneAI here: Connect with TestMu AI : LinkedIn: Twitter: #QA #TestAutomation #AI #GenAI #KaneAI #TestMu
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🚀 Meet KaneAI TestMu AI the next-generation AI-powered testing assistant for modern QA teams. KaneAI helps teams plan, author, and evolve end-to-end tests using natural language, turning requirements directly into executable code. Built for enterprise-scale complexity, it handles sophisticated workflows across all major programming languages and frameworks. QA teams often face hurdles like rapid development cycles, test case debt, and complex framework management. KaneAI addresses these challenges by: ✅ Generating structured test cases from text, JIRA, PDFs, images, audio, video, or spreadsheets ✅ Enabling complex testing workflows with natural language ✅ Supporting multi-language code exports and deep integrations with JIRA and GitHub ✅ Automating API and database testing, smart versioning, and auto bug detection ✅ Self-healing tests for UI changes and flexible manual interaction KaneAI augments QA teams, boosting productivity, reducing errors, and helping teams focus on outcomes rather than repetitive tasks. Learn more about KaneAI here: Connect with TestMu AI : LinkedIn: Twitter: #QA #TestAutomation #AI #GenAI #KaneAI #TestMu

Mohini Shewale

16,809 просмотров • 7 месяцев назад

What if your AI could chat with other AIs to handle your busywork? 🧠 Introducing companion-to-companion interactions in Razer AVA - now able to book meetings autonomously. Watch the video to see AVA in action, and check it out at #GDC2026Razer #GDC2026
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What if your AI could chat with other AIs to handle your busywork? 🧠 Introducing companion-to-companion interactions in Razer AVA - now able to book meetings autonomously. Watch the video to see AVA in action, and check it out at #GDC2026Razer #GDC2026

RazerAI

15,771 просмотров • 6 месяцев назад

Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI
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Anyone who’s worked in QA knows the gap. Requirements live in one place and tests live somewhere else. Every change creates another round of rewriting. Kane AI by TestMu AI (formerly LambdaTest) approaches that gap differently. Instead of forcing teams to rewrite tests in a new abstraction, it lets you describe intent in natural language and turns that into structured, executable tests that can be exported into your existing frameworks. During exploration, the most practical part wasn’t just test generation, it was how expressive the language layer is. Complex assertions, branching conditions, and validations can be described without switching mental modes into code, but the resulting output still integrates cleanly with real pipelines. There’s also a strong emphasis on API coverage and auto-bug detection, which matters when UI tests aren’t enough. Kane AI by TestMu AI (formerly LambdaTest) can detect failures during execution and attempt self-healing based on original intent, while still requiring review and validation from the team. It doesn’t pretend QA disappears. It acknowledges QA is hard, contextual, and constantly changing. That honesty makes it useful. If you’re dealing with test maintenance and curious how natural-language testing fits into real QA work, Kane AI by TestMu AI (formerly LambdaTest) is available to try. See it in action: TestMu AI

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61,494 просмотров • 7 месяцев назад

I've built a new platform for learning math and AI, and I'm gradually filling it out with content. Completely free (but requires sign in). This video tells you why you should check it out. Feedback / feature requests / bug reports very welcome. Link below.
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I've built a new platform for learning math and AI, and I'm gradually filling it out with content. Completely free (but requires sign in). This video tells you why you should check it out. Feedback / feature requests / bug reports very welcome. Link below.

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13,984 просмотров • 2 месяцев назад

is now LIVE! Explore our suite of AI Game Dev Tools and see what they can do for you and your games - all on our website. Stay ahead with Razer AI and sign up for our newsletter to be the first to know about new offerings! 🔗
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is now LIVE! Explore our suite of AI Game Dev Tools and see what they can do for you and your games - all on our website. Stay ahead with Razer AI and sign up for our newsletter to be the first to know about new offerings! 🔗

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16,406 просмотров • 10 месяцев назад

Revanth, Vihaan, and their team built a top-down RPG in just 24 hours at Campfire Singapore using Razer Blade laptops - running Blender, Photoshop, and nearly 20 game scenes simultaneously with zero lag. The new Razer Blade 16 takes that same reliable performance further, engineered for creators who rely on AI‑accelerated workflows. From rapid rendering to smarter multitasking, its next‑gen hardware, massive RAM, and on‑device AI performance power creativity wherever inspiration strikes. Shop the latest Razer Blade 16:
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Revanth, Vihaan, and their team built a top-down RPG in just 24 hours at Campfire Singapore using Razer Blade laptops - running Blender, Photoshop, and nearly 20 game scenes simultaneously with zero lag. The new Razer Blade 16 takes that same reliable performance further, engineered for creators who rely on AI‑accelerated workflows. From rapid rendering to smarter multitasking, its next‑gen hardware, massive RAM, and on‑device AI performance power creativity wherever inspiration strikes. Shop the latest Razer Blade 16:

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Imagine if you could map out your product roadmap 3 months out...and then have AI complete it for you in 3 days. Or pipe all your sentry + bug reports from support to automatically get solved. Super impressed with Cyrus, Ceedar's new Linear agent for Claude Code:
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Imagine if you could map out your product roadmap 3 months out...and then have AI complete it for you in 3 days. Or pipe all your sentry + bug reports from support to automatically get solved. Super impressed with Cyrus, Ceedar's new Linear agent for Claude Code:

Andrew Wilkinson

51,081 просмотров • 11 месяцев назад

🚨 New Feature in OctoMCP: AI Audits Are Live! OctoMCP now supports AI-powered audits for Generated Solana programs! Use the generate-AI-Audit tool to perform automated audits using the LLM configured in your MCP host. 🔍 What it does: Supports 3 audit types: basic, comprehensive, and security-focused Analyzes your program’s source code and IDL Detects critical, high, medium, low, and informational issues Reports code metrics like lines of code, functions, complexity, and nesting depth Provides security best practices and actionable recommendations Includes program context like name, instructions, accounts, and types Generates a clean, structured Markdown audit report 🚧 What’s coming next: We’re working on major updates including: AI Fuzzer Functions using open-source Solana fuzzing frameworks AI Testing Kit to auto-generate test files and validate your programs Octobuild – Build everything right in the browser, 3× faster than OctoMCP, no MCP setup required 🚀 Start vibe coding Solana Dapps + programs today! Deployed Piggybank Program:
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🚨 New Feature in OctoMCP: AI Audits Are Live! OctoMCP now supports AI-powered audits for Generated Solana programs! Use the generate-AI-Audit tool to perform automated audits using the LLM configured in your MCP host. 🔍 What it does: Supports 3 audit types: basic, comprehensive, and security-focused Analyzes your program’s source code and IDL Detects critical, high, medium, low, and informational issues Reports code metrics like lines of code, functions, complexity, and nesting depth Provides security best practices and actionable recommendations Includes program context like name, instructions, accounts, and types Generates a clean, structured Markdown audit report 🚧 What’s coming next: We’re working on major updates including: AI Fuzzer Functions using open-source Solana fuzzing frameworks AI Testing Kit to auto-generate test files and validate your programs Octobuild – Build everything right in the browser, 3× faster than OctoMCP, no MCP setup required 🚀 Start vibe coding Solana Dapps + programs today! Deployed Piggybank Program:

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A SOLO DEVELOPER IS USING CLAUDE CODE TO HUNT BUG BOUNTIES ON PLANES. THE SETUP COSTS $20/MONTH. THE PAYOUTS RUN TO $15,000 PER FINDING. Companies are paying thousands of dollars for finding vulnerabilities in their systems. > The Math: > 1 valid low-severity bug = $200–$1000 > 1 valid high-severity bug = $1,000–$15,000 > 1 critical RCE on a top program = tens of thousands > DeFi audits on Immunefi = some of the largest payouts in the field > The Stack: > 51 skills: auto-load based on what you're testing > 574 patterns: curated from real disclosed HackerOne reports > /triage: 7-question gate that validates before you file > /report: generates clean submissions for every major platform > Burp MCP: Claude reads your HTTP traffic directly > The Cost: $20/month Claude plan. Everything else free. > You don't need a security degree. You don't need expensive tools. You don't need a team. > You need the bundle and 3 minutes to install it. Full setup, every command, legal targets to practice on below
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A SOLO DEVELOPER IS USING CLAUDE CODE TO HUNT BUG BOUNTIES ON PLANES. THE SETUP COSTS $20/MONTH. THE PAYOUTS RUN TO $15,000 PER FINDING. Companies are paying thousands of dollars for finding vulnerabilities in their systems. > The Math: > 1 valid low-severity bug = $200–$1000 > 1 valid high-severity bug = $1,000–$15,000 > 1 critical RCE on a top program = tens of thousands > DeFi audits on Immunefi = some of the largest payouts in the field > The Stack: > 51 skills: auto-load based on what you're testing > 574 patterns: curated from real disclosed HackerOne reports > /triage: 7-question gate that validates before you file > /report: generates clean submissions for every major platform > Burp MCP: Claude reads your HTTP traffic directly > The Cost: $20/month Claude plan. Everything else free. > You don't need a security degree. You don't need expensive tools. You don't need a team. > You need the bundle and 3 minutes to install it. Full setup, every command, legal targets to practice on below

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✨ I made my first video game with ChatGPT: 1) ChatGPT generates a text-based adventure game with DALL-E 3 generating images for it 2) Every time you play the game is different because it generates the story and images live 3) The images from DALL-E are sent to Runway which turns images into video 4) The text is sent to ElevenLabs which turns the text adventure into a pirate narrator voice 5) It's merged into a video 6) Interactive buttons are overlayed The game is called: 🐒🏝️🇳🇱The Secret of Monkey Island: Amsterdam (unofficial) And you can play it here: (video + TTS + buttons doesn't work auto yet, for now manual but text + img works, I'm building an interface for it now)

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Running AI image generation for thousands of users at once has 3 problems: cost, speed, and crashing servers. So we built a different way with and AkashML. One that brings image gen cost down to just 1 cent/image. Watch and read the full breakdown ⏬ Akash Network
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Running AI image generation for thousands of users at once has 3 problems: cost, speed, and crashing servers. So we built a different way with and AkashML. One that brings image gen cost down to just 1 cent/image. Watch and read the full breakdown ⏬ Akash Network

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