AI & Trends

From Postgres Workhorse to AI Convergence: Why HorizonDB Matters Now Sudden spikes from chat-driven features and agent workflows reshaped what “production database” means, and practitioners across data platforms agreed that the center of gravity moved to places where vector search, governance, and

Daily code now ships with machine help woven into every step from planning to review and beyond, yet teams still pause before trusting it with the parts that matter most. The industry has moved past the proof-of-concept era into a pragmatic phase where assistants are expected to work inside real

As AI coding leaps from clever autocomplete to end-to-end planning, a fork of VS Code named Kiro asks whether specs should steer the work before a single line is written, promising faster delivery with fewer rewrites for teams drowning in drift. The question is not whether coding assistants are

Developers did not spend years refining instincts about naming, structure, and safeguards just to settle for AI that ships code which merely runs yet feels alien to the codebase it touches, and the growing push for taste-aware agents stems from the simple reality that correctness alone rarely

Enterprises spent the last cycle chasing model benchmarks, yet the most successful teams quietly shifted focus to the one lever that consistently moves real outcomes: engineering the context that models use to think, decide, and act in the flow of work. This roundup gathers perspectives from CIOs,

Across modern teams racing from idea to release in days, the quiet revolution in testing has been how artificial intelligence removes friction at the seams—between a code change and the test that proves it, between a design artifact and the UI it should guide, and between an engineer’s intention