Generating code is easy, but building software takes knowledge and processes. While AI is dramatically changing how we build software, context and fundamentals matter – developers need all the guardrails to make Agentic workflows work the right way. There are lots of decision points:
• Run AI Models in the cloud or locally
• Choices in Agentic harness
• IDE\, Terminal or Browser workflows?
• Spec out project details or build ad hoc?
• Bridging the gap between Design & code
• Prescriptive guidance through Skills
• Delegate work with Sub-Agents
• Squad of Agents with varying responsibilities
• Pitching Agents against each other
• Bring grounded context with MCPs
• How to validate AI’s work?
Let’s have an honest conversation and see real-world AI-powered workflows. Modern development stacks should provide tooling to embrace Agentic workflows, irrespective of where developers are on the AI adoption spectrum. With contextual expertise to light up AI-human loops, the right guardrails can make developers ultra productive with AI – upwards and onwards.
