GitHub OIDC for Dependabot and Code Scanning: Building a Zero-Secret Security Pipeline
How to redesign CI security architecture now that Dependabot and code scanning can use OIDC with private registries at org scale.
How to redesign CI security architecture now that Dependabot and code scanning can use OIDC with private registries at org scale.
Using GitHub secret scanning improvements and deployment context metadata to prioritize, route, and close security incidents faster.
A practical framework for converting new agent SDK capabilities into measurable reliability, safety, and rollout controls.
Reduce fragility and cost by moving agent workflows from UI scraping to structured APIs, contracts, and fallback design.
A strategy guide for enterprises responding to satellite connectivity becoming part of mainstream cloud and edge platform design.
What Atlassian’s Remix and third-party Confluence agents signal for enterprise product delivery workflows.
How to adopt Cloud Run Worker Pools GA with queue design, SLOs, and cost-aware autoscaling in production.
A security architecture for moving from human-verification assumptions to policy-based agent identity and scoped authorization.
How to operationalize Cloudflare’s new unified CLI direction with safer debugging, IaC discipline, and measurable agent reliability.
A practical architecture for giving autonomous agents scoped private access without exposing internal services to the public internet.
How to design private tool access for AI agents on Cloudflare with scoped identity, policy boundaries, and measurable blast-radius control.
An operating model for platform teams adopting custom runner images and agentic workflow summaries in GitHub Actions.
How to redesign flaky pipelines, incident response, and AI-driven retries after GitHub introduced rerun limits.
A practical operating model for introducing Copilot Autopilot safely with policy tiers, audit trails, and measurable guardrails.
How to adopt signed commits from coding agents while preserving review quality, change control, and release velocity.
Why the renewed focus on CPUs and IPUs changes enterprise AI capacity planning beyond GPU-only narratives.
A decision framework for placing agent workloads on isolates or containers using workload shape, security boundaries, and unit economics.
A practical migration playbook for enterprises moving from passwords and SMS OTP toward passkey-first, phishing-resistant identity.
A practical framework to balance AI capacity plans with regulatory, social, and energy constraints.
How to expose private systems to autonomous agents without rebuilding your network around static tunnels.