AI & Data Security: Insights From IBM’s Chief Architect
IBM’s Chief Architect Devan Shah outlines how the company’s OnePipeline platform now supports over 450 developers by shifting from Travis CI to Tekton and Argo CD, trading longer build times for automated security scans. He details the internal AI coding assistant “Bob,” which relies on contextual rule files and LLM‑driven code reviews to keep AI‑generated code compliant and maintainable. Shah warns of the "Crown Jewels In, Crown Jewels Out" risk, promoting Data Security Posture Management (DSPM) to discover shadow data and enforce encryption. Finally, he advocates a "Bare Minimum 15" checklist and just‑in‑time token provisioning to safely scale agentic AI workflows.
Open Source Liquibase MongoDB Native Executor by Harness
Leveraging its Database DevOps platform, Harness has released an open‑source native MongoDB executor for Liquibase Community Edition. The executor allows teams to run MongoDB scripts, generate changelogs, and embed migrations into CI/CD pipelines without purchasing commercial extensions. Accompanying the tool...
Top CI Metrics Platform Engineering Leaders Should Track
Platform engineering leaders are urged to adopt a focused set of CI metrics—build duration (p50/p95), queue time, success rate, cost per build, flaky‑test rate, and artifact integrity—to turn raw pipeline data into actionable insight. By automating collection and visualizing these...
From Messy to Modular: Rebuilding Filters in React
Harness rebuilt its execution‑listing filters with a modular React component built on the Context API. The new system replaces a hidden side‑panel legacy UI that lost state on refresh with a discoverable, type‑safe framework. It centralizes filter state in a...