Using AI and MCP in Developer Workflows | Trust.. But Verify

We asked three experienced Tiger Data engineers how they balance adopting MCP with sticking to proven methodologies. The engineers emphasize context-driven decision making. James Guthrie describes a continuum between control and delegation - high-stakes work like authentication requires deep understanding, while routine tasks can safely leverage more automation. Anton Umnikov frames the relationship as management, treating AI tools as workers you guide rather than oracles you blindly follow. John Pruitt maintains healthy skepticism by typing out suggested code himself, ensuring comprehension through active engagement. All three engineers agree that core software development skills - logical thinking, problem decomposition, and systematic approaches - remain essential regardless of AI tool adoption. 🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 📌 Learn more by reading the blog ⇒ https://www.tigerdata.com/blog/three-tigerdata-engineers-told-us-the-truth-about-mcp-security-is-its-achilles-heel 📌 Watch the first video ⇒ https://youtu.be/WF14xsV8-FU 📌 Watch the full series ⇒ https://www.youtube.com/playlist?list=PLsceB9ac9MHTnKqhcc-b3w_VcO1-pvlzn 📌 Subscribe to the Channel ⇒ https://www.youtube.com/channel/UCPmHSkid9IOYbdN1Psh24lg?sub_confirmation=1 💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲! 🔍 Website ⇒ https://tsdb.co/homepage 🔍 Slack ⇒ https://slack.timescale.com 🔍 GitHub ⇒ https://github.com/timescale 🔍 Twitter ⇒ https://twitter.com/timescaledb 🔍 LinkedIn ⇒ https://www.linkedin.com/company/timescaledb 🔍 Tiger Data Blog ⇒ https://tsdb.co/blog 🔍 Tiger Data Documentation ⇒ https://tsdb.co/docs 📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀 ⏱ 0:00 ⇒ Introduction ⏱ 0:30 ⇒ When to Trust AI ⏱ 2:40 ⇒ Understanding How Tools Work ⏱ 4:12 ⇒ Is MCP Controversial? ⏱ 5:20 ⇒ AI Delegation vs Self Discipline ⏱ 6:47 ⇒ Outro