Explore how rushed AI-generated code and “vibe coding” can create technical debt, security risks, maintenance challenges, and production problems.

Embedder and SEGGER today announced a partnership that gives Embedder's AI agent direct access to SEGGER J-Link and J-Trace probes, enabling the firmware it writes to be tested and debugged on real ...

Claude Code 2.0 updates streamline agentic coding workflows with a new default auto mode that blocks dangerous commands ...

By replacing failing relay logic and an old-school wye-delta starter with a PLC-driven soft start, this manufacturing team ...

Every few months, a new model arrives and shuffles the AI leaderboards. According to Stanford’s 2026 AI Index Report, ...

Overview: Agentic AI has moved from experimental demos into working infrastructure across development, operations, and ...

Anthropic Mythos 5.1 and Fable 5.1 models improve AI knowledge work and drop task costs by up to 45%, but users report ...

Faster code generation only creates savings when reviews, testing, fixes, and production checks remain efficient.Optimi ...

Looking back at Apple in 2011 and 1991 reveals an arc of technological change. The next chapter may hinge on whether Apple adapts to or loses its lead to AI.

Through better manufacturing screening, DFT for systems and fleet monitors, this major scourge on data center hardware is gradually being tamed.

The infrastructure surrounding open AI may ultimately be more commercially valuable than many of the individual models ...

Hardware assisted verification (HAV) has become far more accessible and affordable to help design teams get massive SoCs to ...