Intel Feed

Kernel Trick — Deep Dive + Problem: Triton Masked Copy Kernel

Deep dive into kernel trick for SVMs with Triton masked copy kernel problem. Relevant for ML testing and AI model validation.

AI Weekly — 2026-08-14 to 2026-08-21 | Open models narrow the gap, and the supply chain keeps moving

Nvidia AI chip in military use, open models closing gaps, and global AI supply chain updates for QA teams.

The Local AI Wave Just Got Real: Sovereign Servers, Open Models, and a Law Firm That Stopped Renting Its Brain

Sovereign AI servers and open models challenge cloud dependency in testing workflows.

When AI Can Build Almost Anything, What Makes an Engineer Valuable?

AI automates coding and testing tasks, but engineers add value through critical thinking and problem-solving beyond automation.

How ChaseOS Studio updates itself without taking control away from the operator

ChaseOS Studio V1.0.6 introduces seamless desktop updates with operator control, allowing review and manual update approval.

Your Memory API Is Lying to Your Agent

Memory API may distort agent's truth by discarding accurate data. Highlights critical flaw in agent memory handling.

SQLite as Your Default Database

SQLite simplifies testing by eliminating DB setup overhead while handling high loads efficiently.

Stop Testing the Prompt. Test the Tool Boundary.

Focus on tool boundary testing, not just prompt vulnerabilities in AI tools like Semantic Kernel.

The .G 36.6°C Experiment: Evolution of the Agent-to-Agent Protocol

Explores how aggressive A2A vector architecture tested LLM security layers under extreme conditions.

Power-Up Your GitHub Profile: Lessons from Mario Kart

GitHub profile tips inspired by Mario Kart: focus on meaningful contributions, not just activity metrics.

Fintech Compliance Welcome API Evaluation (Reusable Templates and Batch Send)

Short answer: keep compliance-notice templates under application ownership, use a transactional email API for rendering and delivery, and reserve batch send for bounded onboarding cohorts rather than campaign automation. Infrai is worth testing when the same backend may later need other production modules behind one…

Best Sites to Get Paid for Testing Apps

Best Sites to Get Paid for Testing Apps Introduction In 2026, earning money online is more accessible than ever. This guide covers real methods that pay — no fluff. Methods That Work Microtasks — small tasks on SproutGigs, earn crypto or PayPal. Airdrop Farming —…

Agentic AI for Mobile Test Automation with Maestro Dev, Part 5: Stable Test

Part 5: Stable Test — Keeping It Working Past Month ThreeContinue reading on Medium »

Agentic AI for Mobile Test Automation with Maestro Dev, Part 4: Self-Healing

Part 4: Self-Healing, Done CarefullyContinue reading on Medium »

Build an Audit Trail for AI Agent Actions

When an agent sends emails or publishes content on its own, "what did it do and who signed off" needs a real answer — here's how to build an audit trail for AI agent actions without writing your own logging layer. The question that shows…

MCP vs API: How they work together and when to use each

Opinion: A Free Server Is a Failure Rehearsal Room, Not a Demo Stage

Opinion: A Free Server Is a Failure Rehearsal Room, Not a Demo Stage Your free server is the most underused environment in your infrastructure, and the reason is cultural rather than technical. Most teams deploy a feature there, capture a screenshot, and then let the…

Add EU VAT validation to Chargebee

Integrating EU VAT validation into your Chargebee workflow not only ensures compliance with EU regulations but also enhances the credibility and accuracy of your billing process. This guide provides developers with a comprehensive look at incorporating VAT validation using EuroValidate API, presenting code examples and…

QA vs. AI: Is Quality Engineering still worth investing in? Need career advice!

QA engineers worry about AI replacing roles but skills in automation & critical thinking remain valuable.

Prompt Engineering Is Dead. Context Engineering Is the New Literacy.

AI workflows now focus on context design over prompts. Reliable AI depends on engineered environments.