LLMs move from demo to production#
In 2025, large language models left the “toy” stage and entered real business scenarios: code completion, customer support, and document processing. RAG and agents became the mainstream pattern for enterprise adoption, while inference costs kept falling.
Databases: PostgreSQL keeps leading#
The PostgreSQL ecosystem kept growing: PG 18 brought performance and parallelism improvements, extensions passed 500, and vector search and graph capabilities gave PG new life in the AI era.
Cloud-native gets finer-grained#
Containers and Kubernetes are the baseline. The conversation shifted to FinOps, platform engineering, and observability, with multi-cluster and multi-cloud governance as the new challenges.
Developer experience is a differentiator#
From AI-assisted coding to one-click dev environments, toolchains increasingly focus on developer experience. Fast onboarding and fast feedback decide which tools win.
Summary#
2025 was a year of rapid iteration — and the year AI truly landed in production. Here’s to 2026 and more products that keep complexity for themselves and simplicity for users.