Related reading
The Shadow Factory: Why Your CI/CD Sprawl is About to Move Faster Than You Can Think
The article warns that unchecked CI/CD sprawl— orphaned pipelines, hard‑coded secrets, and permissive runners— creates a hidden attack surface, and that AI‑driven agents will amplify the problem. It recommends a governance layer with real‑time inventory, policy‑as‑code, and AI guardrails to bring the software factory under the same security rigor as production.
Codeshipcloudbees.com3 minWorker Backpressure (Part 1)
Canva added a lightweight, local backpressure loop to its queue worker library that monitors per‑message success/failure, computes a backoff factor against a configurable failure‑rate set‑point, and throttles the worker’s concurrency. In two real incidents the mechanism kept failure rates under 2 % fleet‑wide, limited DLQ growth to a handful of messages, and maintained throughput without manual i…
Canvacanva.dev10 minBuilding Distributed Sliding-Window Rate Limiters in TypeScript and Redis
This guide details building a distributed sliding-window rate limiter using TypeScript and Redis. It leverages Redis sorted sets and an atomic Lua script to prevent race conditions and over-admission under high concurrency, supporting dual RPM/TPM quotas.
SitePointsitepoint.com18 minScaling Golang CI by Replacing actions/setup-go
The default GitHub actions/setup-go action degrades parallel Go CI performance due to incomplete cache keys and stale writes. A new open-source action, cloudx-io/setup-go, resolves this with job-specific and run-ID-based keys, cutting test job runtimes by 69%.
Hacker News front pagecloudx.ai9 minHN7424Audit your Agent files
Agent configuration files (CLAUDE.md, AGENTS.md, skill packs) accumulate stale rules, inflating token usage and hurting performance. Regular audits—using Claude’s /doctor, pruning to <200 lines, and encoding hard constraints in hooks—restore lean, effective agents.
Addy Osmaniaddyosmani.com12 minSecuring AI Pull Requests: Building a Deterministic AST Audit Harness in GitHub Actions
A step‑by‑step tutorial for building a deterministic AST‑based security scanner that runs in GitHub Actions to catch prototype‑pollution, high‑entropy secrets, and unauthorized network egress in AI‑generated pull requests.
SitePointsitepoint.com19 min



