An agent connected to five MCP servers can burn 55,000 tokens on tool schemas before it reads the first word of your request. GitHub's server ships 35 tools at roughly 26K tokens. Slack adds 11 more at about 21K. Sentry, Grafana, and Splunk tack on a few

Every large engineering org eventually wants the same thing: one view of every dependency across hundreds of repositories. Who uses lodash 4.17.20. Which services still pull in the bad Log4j. What breaks if the shared client library gets bumped. The market has answered that demand the same way

The question being asked in r/kubernetes this week is whether to feed observability data to coding agents. Traces, metrics, logs, the whole stream the system already emits — should the agent that writes and fixes your code get to read it? The answer is yes. The agent that can see

Internal platforms used to be the exotic option. Now they are the default. A December 2025 Platform Engineering survey of 518 organizations found that nearly 90% of enterprises run internal platforms, with a dedicated platform-product-manager role appearing in a quarter of them. The interesting part is not the

The companies with the most control over chip supply on the planet still rent across three cloud providers. That is the fact that should reset how a platform team thinks about AI infrastructure. If a frontier lab with custom silicon deals and over a million of its own accelerators cannot

The 1M-token context window is here. Opus 4.8, 4.7, and 4.6, plus Sonnet 4.6, now carry the full million-token context on the Claude API, Amazon Bedrock, and Vertex AI — no surcharge, generally available. A single request can hold up to 600 images or PDF

A LinkedIn post circulating this week made an observation worth sitting with. AI write-throughput in a serious engineering team can hit fifty pull requests a day. The team's merge-throughput is two. The author's own bug-finder product had hit the same wall on the

The cloud-runtime question for enterprise Claude is settled. AWS shops route through Amazon Bedrock. Google Cloud shops route through Vertex AI. Direct deployments now sit inside the customer's perimeter via self-hosted sandboxes and MCP tunnels that shipped this month. The question "where should Claude run&

The May 15 piece on access-rents drew a line through every services industry. On one side: access-rents — work that consists of operating an interface the customer cannot operate themselves. On the other: integrated expertise — work that consists of telling the customer which question to ask. AI eats both,