… Tags: agentic AI security AI security coding training cybersecurity GitHub Security Lab secure coding Written by Related posts AI & ML Improving token efficiency in GitHub Agentic Workflows Agentic workflows that run on every pull request can quietly accumulate large API bills. …
… Build your first Copilot-powered app → Execution is the new interface The shift from “AI as text” to “AI as execution” is architectural. Agentic workflows are programmable planning and execution loops that operate under constraints, integrate with real systems, and adapt at runtime. …
… Track cohort progression: Watch users graduate from code-first usage into agent-first and multi-agent workflows over time. Target enablement: Focus training, documentation, and rollout programs on the phases where you see the biggest opportunity. …
… GitHub for Beginners: Getting started with GitHub Actions Set up your first GitHub Actions workflow in this how-to guide. Scaling AI opportunity across the globe: Learnings from GitHub and Andela Developers connected to Andela share how they’re learning AI tools inside real production workflows. …
… They’re now the most important thing you can be working on when building an agent-first repository. Gone are the days where deprioritizing this work over new feature work was necessary, because delivering features with Copilot becomes trivial when you have a well-maintained, agent-first project. …
… Here’s how we instrumented our own production workflows, found the inefficiencies, and built agents to fix them. AI & ML Agent pull requests are everywhere. …
… Our first mitigation was to isolate the agent in a dedicated container with tightly controlled egress: firewalled internet access, MCP access through a trusted MCP gateway, and LLM API calls through an API proxy. …
… Under the hood: Security architecture of GitHub Agentic Workflows GitHub Agentic Workflows are built with isolation, constrained outputs, and comprehensive logging. Learn how our threat model and security architecture help teams run agents safely in GitHub Actions. …
… Related posts AI & ML Improving token efficiency in GitHub Agentic Workflows Agentic workflows that run on every pull request can quietly accumulate large API bills. Here’s how we instrumented our own production workflows, found the inefficiencies, and built agents to fix them. …
… Steering a fleet in progress After dispatching, you can send follow-up prompts to guide the orchestrator: Prioritize failing tests first, then complete remaining tasks. List active sub-agents and what each is currently doing. …
