Kilo Code
Kilo Code is the autonomous builder — a VS Code extension that doesn't just suggest code, it builds entire features. While most AI coding tools operate at the line or file level, Kilo Code works at the task level. You describe what you want built, and it plans the implementation, creates the files, writes the tests, and iterates until everything works. All inside your editor, all autonomously.
What makes it distinct is the task-based model. You don't work line by line or file by file — you define a task like "add user authentication with JWT" or "create a REST API for the products resource" and Kilo Code figures out the implementation plan, identifies all the files that need to change, and works through them systematically. It's like having a developer who actually reads the requirements doc.
It's model-agnostic, which is actually important for an extension that's doing this much autonomous work. You can use Claude, GPT-4o, Gemini, local models via Ollama, or anything that speaks the OpenAI-compatible API format. The model you choose directly affects how well it handles complex tasks — better models make fewer mistakes and need less supervision.
The selection context feature is genuinely useful — highlight a function, ask Kilo Code to refactor it, and it understands exactly what you're looking at plus the surrounding code. This is way better than trying to describe which function you mean in a chat box. Visual context + code context = way fewer misunderstandings about what you actually wanted.
Setup is straightforward: install the extension from the VS Code marketplace, configure your API key, and you're running. First task can start within minutes. The extension integrates directly with VS Code's file system, terminal, and editor — so it can read, write, and run code without any external setup. No Docker, no separate process, just the extension.
The approval flow keeps you in control. For each file change, you see the diff and approve it. This is crucial when an AI is making autonomous changes — you need to be able to say "no, that's wrong" before it cascades into a mess. The flow mode lets you batch-approve related changes, which is a nice middle ground between approving every keystroke and full-autonomy chaos.
Checkpoint and rollback are built in. Every change Kilo Code makes is tracked, and you can rollback to any point. This makes experimentation safe — let it try an approach, if it doesn't work, rollback and try a different prompt. It's like git stash but for AI work sessions. The peace of mind this gives you when letting an AI make dozens of file changes cannot be overstated.
The context management is solid. Kilo Code reads your project structure, understands file relationships, and maintains context across the entire task. It won't forget about the database schema when it's writing API endpoints, or miss the existing test patterns when it's creating new tests. This holistic understanding is what separates a task-level tool from a glorified autocomplete.
Where it really shines is greenfield development. Starting a new project? Describe the architecture you want, specify the stack, and Kilo Code scaffolds the whole thing — project structure, configuration files, boilerplate code, initial tests. What would normally take a day of setup gets done in 15 minutes. Then you iterate from there.
Who's it for? VS Code users who want to delegate entire features, not just lines. People doing rapid prototyping who need to move fast. Teams that want AI-assisted development but prefer to stay in their editor. If you've ever wished you could just describe a feature and have someone else build it while you focus on architecture — Kilo Code does exactly that.
Power Tips
Selection, tasks, MCP, tokensQuick Wins
Always select the relevant code before starting a task. That selection becomes your context anchor — Kilo Code focuses on it and its surrounding context, not the whole project at once.
Kilo Code saves all your tasks. Reopen old tasks to continue work, reference what you did, or see what decisions were made. Never lose a conversation.
When the token budget indicator gets low, start a new task rather than continuing. Trying to push through causes degraded output quality as context gets compressed.
Set up MCP tools for your stack — database queries, API calls, test runners — before starting big tasks. They let Kilo Code take real actions, not just suggest them.
Kilo Code supports multiple concurrent tasks. Run a refactor in one task while asking questions about docs in another. They don't interfere.
Before any large edit or refactor, save a checkpoint. You can revert to it cleanly if the output isn't what you wanted — no manual undo chains.
Hidden Features
Auto-approve doesn't have to be all-or-nothing. Configure it in Kilo Code settings to only auto-approve for specific file types or directories (e.g., only test files, only src/, never config/). More safety, less friction.
Without MCP tools, Kilo Code can only read and write files. With MCP tools configured for your stack, it can run tests, query databases, call APIs, and execute custom scripts — directly from the task panel.
In the task history panel, you can see exactly how many tokens each task consumed. Use this to identify which prompting styles are most efficient and which are burning your budget unnecessarily.
Common Mistakes
Without a selection, Kilo Code has no context anchor and will give vague, broad responses. Selection is how you get precision.
Select the relevant code first. Every time.When the indicator gets critical, Kilo Code starts compressing context. The quality of its responses degrades noticeably before it hits the limit.
Start a new task when the token budget indicator turns orange.Global auto-approve means Kilo Code can edit any file without asking. This is too much autonomy for files like .env, migrations, or CI config.
Restrict auto-approve to specific directories or file types only.