Turn specs into working product code with an autonomous MCP coding agent.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.asklokesh/loki-mode" MCP server from askskill: Run: claude mcp add 'io-github-asklokesh-loki-mode' -- npx -y loki-mode
Based on the following product requirements, automatically generate a runnable web app prototype: include user login, a task list, task creation, and status toggling. First break down the requirements, then create the project structure, implement frontend and backend code, and provide local run instructions.
Runnable prototype code, a requirement breakdown, project structure, and startup instructions.
Add a 'CSV report export' feature to an existing Node.js project. Review the current codebase, identify the right modules, add the API, business logic, and necessary tests, and explain which files you changed.
Implemented feature code, related tests, a list of changed files, and implementation notes.
Fix the system issue described below: duplicate records are created when users submit forms under high concurrency. Analyze the likely causes, update the code to prevent duplicate writes, and add regression tests to verify the fix.
Root-cause analysis, patched code, more robust write logic, and regression test results.
Unifies Gemini, Codex, Ollama, and auto-registers available tools.
Run spec-driven development workflows with orchestration, memory, and quality gates.
Lint OpenAPI specs with Spectral and identify API definition issues.
Access observability data across Prometheus, Loki, and detect anomalies faster.
Search code semantically on-device using AST chunks, hybrid retrieval, and graph context.
Expose read-only code intelligence like hover, definitions, references, and diagnostics.