X @Balaji

AI Agent Application - AI agents are more suitable for frontend code, API interactions, data analysis, and prototyping [1] - AI agents are less suitable for domains requiring high context, backend code, and iterative development [2] - AI agents are effective for "shallow" layers of applications but risky in "core" areas needing high context and low error rates [3] AI vs Human Coding - Using AI agents can be slower than coding directly, especially when prompt writing and code review take more time [1][2] - Code directly when the domain is well-known, requires high context, or needs iterative refinement [2] Heuristics for AI Agent Use - Frontend over backend [4] - Reads over writes [4] - Shallow over core [4] - Prototypes over production [4] - Starting vs maintaining [4] - Error-tolerant domains over error-intolerant [4] - Visual output over financial [4] - Low-context over high-context [4]