AI Weekly Malaysia

The Hacker News published the first of three GitGuardian-sponsored articles on credential-layer security, citing GitHub COO Kyle Daigle saying the platform went from roughly 1 billion commits across all of 2025 to 2.9 billion commits in August 2026 alone — an annualized pace of over 14 billion — while GitHub engineering says it has moved from planning for 10x scale to designing for 30x as agentic development accelerates. GitGuardian says it detected 28.65 million new hardcoded secrets in public GitHub commits in 2025, up 34% year over year, with leaked credentials tied to AI services up 81%. The article frames GitGuardian's Detect / Remediate / Prevent pipeline as the answer, and is explicitly the first of three vendor articles explaining its mission.

Why: If you are letting coding agents generate or commit code, your secret-exposure surface grows with the commit volume, not with your team size — the 34% YoY rise in hardcoded secrets and the 81% jump in AI-service credential leaks are the numbers to plan against. Concretely: put secret scanning in pre-commit hooks and CI now, and treat 'we moved to 30x scale planning' as a signal that volume-based review and manual code review will not keep up. Note this is vendor content from GitGuardian, so the framing (Detect first, then Remediate, then Prevent) is marketing for its own product; the cited statistics are the part worth keeping.