Official company announcements, research releases, and product news from Vibgrate. Where relevant, releases link directly to the supporting research, data, and methodology. For technical analysis and perspectives, visit the blog. For product updates, see the changelog.
In Vibgrate's latest pinned A/B benchmark, an AI coding assistant using Vibgrate AI Context consumed 493,895 tokens, against 670,169 with generic file discovery — 26.3% fewer across the approximately 300-file test tier.
The local-first, read-only server gives compatible coding assistants access to version-correct library documentation, a repository code map, and offline drift information through the Model Context Protocol.
The extension brings a locally computed DriftScore and per-dependency version drift into the editor, using the same scoring engine as the Vibgrate CLI.
Vibgrate has published the data sources, scoring factors, formulas, and limitations behind DriftScore, RiskScore, and DriftRisk™. The methodology is available under CC BY 4.0 and permanently archived on Zenodo.
The CLI can export software bills of materials in CycloneDX and SPDX formats, compare dependency changes between scan artifacts, and generate OpenVEX documents from the same local scanning workflow.
A hardened scanning profile suppresses local file writes and disables high-context scanners, for teams in financial services, healthcare, government, and other environments under strict data governance.
Offline mode provides full drift scanning without any network calls, using a downloadable package-version manifest for version lookups — announced alongside the CLI's public npm release.