Blog
We launched AI Risk Lab
We launched AI Risk Lab - a research initiative where we review selected AI ideas, LLM applications, agents and RAG systems and give an independent engineering opinion before you ship to production.
Embedded testing diary #1. Device fleets.
Common problems in embedded testing: how to manage device fleets, heterogeneous test setups, and resource contention across multiple hosts.
Why embedded systems fail in production
Embedded systems often feel stable right until they leave controlled environments. The difficult part is that modern embedded systems are no longer isolated devices - they became ecosystems of interacting components.
Fast AI development is changing how software gets tested
AI changed the rhythm of software development surprisingly fast. Because of that, testing can no longer exist only as the final stage before deployment - it starts happening during development itself.
Why vulnerabilities in complex systems are hard to detect (and how to approach it)
Vulnerabilities in complex systems are not isolated bugs - they emerge from interactions, timing, and real-world conditions. Learn how static analysis and system-level testing help detect them.
We're attending SIM Conference: why events like this still matter
We'll be attending the SIM Conference this year. Not just for the talks - but for real conversations with people working on real problems.
Software testing for complex systems: challenges and effective strategies
Modern software systems operate as interconnected, distributed, and hardware-dependent environments. Learn how to test complex systems effectively.
Static vs dynamic testing: differences, use cases and best practices
Modern software systems are becoming increasingly complex. Understanding when and how to use static code analysis and dynamic testing is key to building reliable systems.
Embedded systems testing: methods, challenges and best practices
Embedded systems testing requires a fundamentally different approach compared to standard software testing.
