The New Stack7010 phútAI
Cursor, GitLab and Zed agree GitHub is breaking. They disagree on how to rebuild it.
Ba công ty Cursor, GitLab và Zed đều nhận thấy GitHub đang gặp khó khăn trước khối lượng …
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#gitlab
Tin lập trình mới nhất về gitlab, tóm tắt tiếng Việt bằng AI.
GitLab05 phút
Google Antigravity agents get full context with GitLab Orbit
GitLab Orbit, a lifecycle context graph that indexes GitLab projects, pipelines, merge requests, vulnerabilities, and source code into a knowledge graph, is now available in the Google Antigravity MCP Store. Developers using Google's agent-first platform can install Orbit directly from settings and give their AI agents structured access to GitLab data via two MCP tools: query_graph and get_graph_schema. This integration enables agents to answer complex questions about software dependencies, in-flight merge requests, and code ownership without manual context switching. Early internal tests showed agents grounded with Orbit responded up to 11x faster, used 4.5x fewer tokens, and produced 45x fewer hallucinations. Orbit is available for GitLab Premium and Ultimate tiers and uses the same knowledge graph that powers the GitLab Duo Agent Platform.
GitLab010 phút
GitLab Patch Release: 19.1.1, 19.0.3, 18.11.6
GitLab released patch versions 19.1.1, 19.0.3, and 18.11.6 for CE and EE on June 24, 2026. The release addresses 13 CVEs including two high-severity XSS vulnerabilities (CVSS 8.7 and 8.0) in the Analytics Dashboard and Web IDE, an information disclosure issue in Duo Workflows (CVSS 7.7), and multiple authorization bypass and access control issues across CI/CD, DAST, Maven Package Registry, and other components. Self-managed GitLab installations are strongly urged to upgrade immediately. The patch also includes bug fixes across all three versions and includes database migrations that may cause downtime on single-node instances.
The New Stack06 phút
Developers are now validating code they didn’t write — and may not understand
GitLab's 2026 AI Accountability Report, based on a Harris Poll of 1,528 developers across six countries, reveals that AI coding tools have shifted the bottleneck from writing code to reviewing it. While 78% of organizations report faster code output, 43% cannot reliably distinguish AI-generated code from human-written code, and only 28% have fully integrated SDLC toolchains. GitLab defines AI accountability around three questions: where did the code come from, what was it meant to do, and who is responsible for it in production. The company is positioning its platform — including GitLab Orbit for agent context graphs and a new Git backend for machine-scale execution — as the governance infrastructure layer that addresses these gaps. The report also notes that 85% of respondents believe the next phase of AI in software will focus more on governing code than generating it, and 91% plan to invest in AI code governance tools within 12 months.