2d ago · 5 min read · How to Build a Self-Healing Python Script That Never Fails Meta description: Learn to build robust Python scripts with self-healing capabilities, ensuring continuous execution and minimizing downtime. Tags: Python scripting, self-healing scripts, err...
Join discussion3d ago · 8 min read · If you run Claude Code on Windows through Git Bash, and any of your PreToolUse or PostToolUse hooks are Python scripts, there's a good chance they have been no-op'ing for weeks and you don't know it. The shape of the bug is documented in anthropics/c...
Join discussion3d ago · 7 min read · Hooks are Claude Code's safety net. PreToolUse blocks dangerous Bash invocations before they run; SessionStart injects context the model needs; permission rules pin what the agent is allowed to touch. A whole class of incidents — committed .env files...
Join discussion3d ago · 6 min read · Database warning signals: How to migrate before disaster strikes Database failures rarely happen without warning. The challenge isn't technical capability, it's recognizing the early indicators and acting before you're forced into emergency mode. Mos...
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3d ago · 3 min read · I've been tracking issues filed against anthropics/claude-code for a few weeks. Between May 4 and May 11, 2026, 24 distinct reports caught my attention because they all share the same underlying shape, despite covering very different surface areas. T...
Join discussion3d ago · 1 min read · SLOs get all the attention. I want to argue that your SLIs are more important. Here's the thing: an SLO is a number you pick. 99.9% uptime. 300ms p95 latency. Whatever. It's a decision. An SLI is what you're actually measuring. Is it the right signal...
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May 7 · 11 min read · GitLab scheduled pipeline monitoring matters because scheduled CI/CD jobs can fail quietly while the rest of your system looks healthy. Your application is up. Your GitLab project is reachable. Recent commits build successfully. But the scheduled pip...
Join discussionMay 6 · 4 min read · Operational stability is routinely misinterpreted as evidence of correctness. A system runs in production, processes requests, and does not exhibit visible failure under expected load. From this, a co
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May 6 · 5 min read · The hidden complexity behind uptime percentages: what 99.9% really means for your business When infrastructure providers tout their 99.9% uptime guarantees, it sounds reassuring. But dig deeper and you'll find that 99.9% translates to 8.77 hours of a...
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May 5 · 4 min read · Orchestration Allows Microservices to Be Unreliable (And That's a Good Thing) One of the first features I wanted to build for Kubernetes was service workflows: Service A starts, then B, then C. If B fails, A should know, and C shouldn't panic. Servic...
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