How Context Engineering Improves AI Coding Agents

Want to try for yourself? Find the code here → https://ibm.biz/~qRFlJOr7w Get started with IBM Bob here → https://ibm.biz/~JX03Qxv7H The same AI coding agent can produce two completely different outcomes. Bri Kopecki (@Tech-Cowgirl) demonstrates how context engineering helps AI coding agents understand codebase rules, architectural constraints, and repository conventions before they generate code. Learn why context, not intelligence, is often what separates bad AI output from production-ready software. Explore more technical tutorials, articles, and learning resources here → https://ibm.biz/~ImPeZZzTm Subscribe → https://ibm.biz/~7qlljnHwH AI was used in the creation of the transcript and metadata for this video. #contextengineering #aicoding #developertools #softwareengineering ----------------------------------------------------------------------------------------------------------- Find us on YouTube: 🔵 IBM Developer: https://youtube.com/@IBMDeveloperAdvocates 🔵 IBM Technology: https://www.youtube.com/@IBMTechnology 🔵 IBM: https://www.youtube.com/@IBM Follow our Developer social channels: 🟣 https://www.linkedin.com/showcase/ibmdeveloper 🟣 https://x.com/ibmdeveloper