Agentic coding is only as good as its context
… The CI/CD pipeline fails because the agent didn't know about a recently added linter rule. …
… The CI/CD pipeline fails because the agent didn't know about a recently added linter rule. …
… This addresses the shadow pipeline problem. A team-built pipeline outside your governed templates runs with the same access and trust as a sanctioned one. PEPs close the gap — security jobs run regardless of what a project's pipeline contains. …
… The On-Premises Device Cloud: Creates pools of shared hardware resources Automatically — and exclusively — allocates hardware to a developer’s hardware testing pipeline tasks based on availability Deploys and executes tests without manual intervention Collects and reports results through integrated… …
… GitLab Duo Vulnerability Explanation is available as a GitLab Duo Enterprise add-on . Advanced SAST: Filter out the noise False positives are a top frustration for both security and development teams. Unfortunately, this is a common complaint of traditional Static Application Security Testing SAST . …
… Debug failing pipeline Complexity : Beginner Category : Debugging Prompt from library : This pipeline is failing: Job: JOB NAME Stage: STAGE Error: PASTE ERROR MESSAGE/LOG Help me: 1. Identify the root cause 2. Suggest a fix 3. Explain why it started failing 4. …
… Teaching software development the easy way using GitLab AI is reshaping DevSecOps: Attend GitLab Transcend to see what’s next Engineering How to build CI/CD observability at scale This practical guide to GitLab pipeline analytics helps self-managed users gain operational insights using Prometheus a… …
… In larger teams and organizations, it is required that feature branches are made available for review and testing. With Cloud Seed, a Cloud Run deployment pipeline can be generated in less than two minutes that deploys all feature branches to Cloud Run. …
… The same contextual understanding and collaborative approach that made documentation generation seamless can be applied to: Code reviews: Agents can analyze merge requests with full project context Testing: Generate comprehensive test suites based on actual usage patterns Debugging: Trace issues ac… …
… We do expect daily use of AI by every individual in the company and we are launching AI acceleration programs to support every role as part of our transformation. …
… Managing AI output requires a systematic approach to code review and validation. Organizations should integrate security scanning tools into their CI/CD pipelines , ensuring that AI-generated code is checked for security vulnerabilities before deployment. …