Refactoring means cleaning up the code without changing what the app does. Same buttons, same behavior, way less mess underneath. Here's the exact prompt to make Bolt (and any other coding agent) do it safely, one step at a time.

how do you tell when something needs refactoring nowadays? before AI wrote all the code, i could tell a refactor was needed when a feature/bug fix was difficult/tedious to implement myself now that AI writes everything, how do you even know?

Tinycast is going through some major code refactoring so that I can maintain code in a better way and lots of performance enhancement is coming. try it on latest beta

Test was red. Agent refactored, test green. Turned out it mocked the function it was testing. The mock returns the exact value the new implementation does, so assertions pass by construction. Coverage looks perfect. How do you catch a test that agrees with itself?

# Antigravity Features and Practical Usage 🚀 A large refactor handled by several agents working at once. Subagents turn one agent into a team. 📌 Title and Feature URL Title: Subagents URL: 📝 Overview Subagents enable parallelized workflows. When the main agent receives a complex task, it automatically breaks it into subtasks and spawns independent subagents that execute concurrently. The finished results are then aggregated back into the conversation. 🔧 How It Works Subagent orchestration runs largely autonomously: - Environment profiling: it checks permissions, reads directories, and verifies dependencies. - Autonomous subagent definition: the orchestrator decides how to decompose the work without user configuration. - Parallel spawning: once dependencies are met, agents with isolated context windows run simultaneously. - Output synthesis: the orchestrator assembles each subagent's output into the final deliverable. - It also combines with background automation such as scheduled tasks. 🛠 Practical Usage - Hand over a large task and let the main agent split it into subtasks automatically. - Process work in parallel by package or module so independent changes proceed at once. - Let the orchestrator manage ordering, since subagents launch as dependencies resolve. - Have the finished diffs aggregated into the conversation for a single review. 🎯 Use Cases - Split a large refactor by package, run it in parallel, and aggregate the completed diffs into the conversation. - Advance several independent features at the same time to cut waiting time. - Run a bug bash that fans out across a broad surface to surface issues quickly. - Assign research and code changes to separate subagents that work in parallel. ⚠️ Caveats - The orchestrator decides decomposition autonomously, so review the results to ensure the split matches your intent. - Parallel execution involves multiple concurrent environments and model calls, so watch cost and rate limits. - Tasks with tight dependencies may see limited benefit from parallelization. #Antigravity# #Agents#