Second in our Show and Tell series. On going from a solo developer overwhelmed by requests to an architect directing a team of AI agents — and the exact workflow, tools, and rules that made it possible.
Second in our Show and Tell series. On going from a solo developer overwhelmed by requests to an architect directing a team of AI agents — and the exact workflow, tools, and rules that made it possible.
How we built a semantic layer in git and an AI-facing MCP gateway to make our Snowflake data warehouse trustworthy and accessible to everyone — including AI agents.
When a P1 hits, an AI agent is already reviewing deployments, scanning logs, and opening a war room before the first human joins. Here's how we built an incident management system where agents do the heavy lifting — from detection to post-mortem.
How Rohlik's Maia team turned customer conversations into overnight merge requests, with humans only at the approval gate.
First in our Show and Tell series — engineers sharing what actually works. Michal Vlcek on how he stopped writing code and started managing a team of AI agents, shipping more than ever before.
CloudSQL for MySQL gives you CPU graphs and connection counts. When something goes wrong you need to know which exact query ran for 3 seconds at 14:07:43, which user triggered it, and which threads were competing for locks. Threads Monitoring captures every query from performance_schema as it executes, with no agents and no schema changes, and produces two self-contained HTML reports for immediate investigation.