automation.
8 writings found
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Automating Marketing With GitHub Copilot: A Developer's Approach
How I used GitHub Copilot and GitHub Actions to automate repetitive marketing workflows, turning runbooks into executable pipelines that any non-engineer can operate.
Google's Planetary Prediction Engine Automates Geospatial AI
Google Earth AI's PPE autonomously handles geospatial modeling from data discovery to predictions, reducing weeks of manual work to minutes across health, food security, and disaster risk tasks.
Patching Security Holes at Scale: When You Have Millions of Lines of Mobile Code
How Meta automates security fixes across massive mobile codebases using AI and custom tooling. A glimpse into enterprise-scale vulnerability management.
Building a Live Documentation Ecosystem for AI Coding Agents
Showboat's new remote streaming feature and companion tools create a real-time feedback loop for AI-assisted development workflows.
GitHub Agentic Workflows: When Your Repository Gets Its Own AI Intern
GitHub's new agentic workflows bring coding agents into Actions with guardrails. Here's what it means for repository automation and why it's not CI/CD.
Continuous AI: Why GitHub is Betting on Agents That Reason, Not Just Execute
GitHub Next introduces Continuous AI, a new pattern for automating judgment-heavy engineering work that CI was never designed to handle.
Continuous AI: The Missing Layer Between CI and Human Judgment
GitHub Next explores background agents that handle judgment-heavy tasks CI was never designed for. Here's what that means for how we build software.
The Dark Factory: Building Software Without Looking at the Code
StrongDM's AI team ships production software using agents that write code no human reviews. Here's how they test it and why it might actually work.