Boosting Code Efficiency with OpenCode and Docker

I just moved my entire React/TypeScript workflow into OpenCode using Docker, and the difference is night and day. If you are still pasting snippets into a chat window, you are missing out on #Agentic #Coding. What makes #OpenCode better? Most AI tools "guess" based on the text you give them. #OpenCode is different because of #LSP (Language Server Protocol) integration. Why LSP is a Game-Changer: It #Understands, It Doesn't Just Read: LSP is the same tech VS Code uses to give you autocomplete and find errors. OpenCode uses it to actually navigate your project. #Symbol Mapping: It knows exactly where a function is defined and every single place it is used across your whole project. #No More Hallucinations: Because it sees the real types and dependencies in your TypeScript files, it doesn't suggest code that won't compile. Why I run it in #Docker: #Safety: The AI has a "Build Mode" that lets it run terminal commands. By using Docker, I give it a "sandbox" where it can install packages or run tests without touching my actual OS settings. #Clean Environment: My local machine stays clean, while the agent gets exactly the Node/Python environment it needs to work. #Seamless Sync: Using Docker Volumes, every change the AI makes in the container appears instantly in my VS Code. The Workflow: Mount the project folder into a Docker container. Let OpenCode initialise and #index the project via LSP. Give a prompt like "Refactor my Stripe webhook to handle trial periods." Watch it read 5 different files, plan the change, and execute it perfectly. If you want to move fast, stop talking to a chatbot and start working with an agent that actually knows your codebase. #OpenCode #AICoding #SoftwareEngineering #Docker #TypeScript #ReactJS #AIAgents #DeveloperTools

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