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While AI have usage has been growing steadily for the last several years, the LLM models noticeably improved around the end of 2025. Specifically, they become more viable for software development. We are seeing the results. The feature and product delivery has picked up. One way to visualize this is by looking at the number of pull requests for your organization / software development teams. This chart shows the number of Github pull requests created by a team. Can you spot when AI usage increased?

Every quarter, G2 publishes seasonal reports and awards badges based on authenticated customer reviews, not paid ranking, to highlight top-performing B2B software products. For Spring 2026, Redgate Monitor had a standout showing, earning 14 new badges, including several “Best / Most” awards that go to just one single product in every category.

Discover why Terraform has become a vendor lock-in risk with HashiCorp's licensing changes. This guide explores practical strategies to escape Terraform lock-in, including OpenTofu migration paths and how Harness IaCM enables vendor-neutral infrastructure management across multiple IaC tools.

The pace of AI-assisted development has outgrown how most teams actually ship. Harness is closing that gap. Engineering teams are generating more shippable code than ever before — and today, Harness is shipping five new capabilities designed to help teams release confidently. AI coding assistants lowered the barrier to writing software, and the volume of changes moving through delivery pipelines has grown accordingly. But the release process itself hasn't kept pace.

MRO stands for maintenance, repair, and operations. It refers to the activities, supplies, and services that keep equipment, facilities, and infrastructure running safely and efficiently. Every industry that relies on physical assets depends on MRO, whether that means replacing a worn bearing on a production line, restocking safety gloves in a warehouse, or servicing an HVAC system in a hospital.

A free plan with enough RAM for real vector search, k-NN indexing, and long-term memory for your AI projects.