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Articles by Nitish Mane
Put the Agent in a Box: Running Claude Code in a Container
Permission fatigue is a security risk. Repeated approval prompts become routine, leaving powerful AI coding agents with access to sensitive files, credentials and systems. Containers put boundaries around autonomous coding. Restricted mounts, non-root execution, scoped credentials and controlled network access reduce an agent’s potential damage. Sandboxing isn’t a silver bullet.
What Uber’s 800-Server MCP Gateway Means for Platform Teams
TL;DR — Key Takeaways 1. Uber’s MCP Gateway demonstrates governance at enterprise scale. Its architecture manages more than 800 MCP servers and 5,000 tools through a centralized registry, proxy gateway, ownership tracking and tool-level authorization. 2. The most valuable lessons don’t require Uber’s infrastructure.
I Built Scrapers That Heal Themselves (and Won an NVIDIA DGX Spark)
Scraper Factory took first place at the WeMakeDevs Zero Downtime Hackathon in San Francisco. On the surface it is a small product: it scrapes about twelve days of TV guide data for Philo, YouTube TV and Sling, ranks the top ten upcoming shows and the top ten upcoming movies, and gives you one click to record each title on Philo. The interesting part is underneath. I wanted scrapers that notice when they break, attempt their own repair, and only accept that repair once it is proven correct.
10 Real Use Cases for MCP in Platform Engineering (and the Guardrails That Make Them Safe)
What does MCP bring to platform engineering? MCP gives AI assistants a standard way to discover and call platform tools, similar to giving developers a consistent internal API instead of making them learn multiple command-line interfaces. Which platform workflows benefited most? The strongest use cases included Kubernetes troubleshooting, Prometheus cardinality analysis, IaC generation, GitOps diagnosis, CI/CD failure analysis, rollback automation and incident-response workflows.
Invisible by Design, What it Takes to Operate Platforms Under Real Load
When a streaming app opens, and content starts instantly, the experience feels effortless. That sense of ease is intentional. Behind it sits a complex backend operation designed to disappear completely when it works well. Running the backend of a national streaming platform is not about novelty or experimentation. It is about consistency, discipline, and the ability to operate reliably at a massive scale. Most days begin quietly, long before viewers notice anything.
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