paseo

Orchestrates coding agents (Claude, Gemini, Copilot) from a CLI interface by establishing a command-line control plane that routes agent instructions to remote execution environments. Uses a client-server architecture where the CLI acts as a control interface, serializing agent tasks and receiving structured execution results back, enabling developers to trigger multi-step coding workflows without leaving the terminal.

Provides a mobile-optimized interface (iOS/Android) for controlling remote coding agents, allowing developers to trigger agent tasks, monitor execution, and retrieve results from their phone. Implements a lightweight mobile client that communicates with the orchestration backend via REST or WebSocket APIs, with optimized UI for touch interaction and low-bandwidth scenarios.

Schedules agent tasks for execution at specified times or on recurring schedules, and batches multiple tasks for efficient execution. Implements a task queue with scheduling support (cron-like syntax), batch processing to reduce API calls, and execution monitoring.

Orchestrates multi-agent workflows where multiple agents collaborate on a task, passing results between agents and coordinating execution. Implements agent communication patterns (sequential, parallel, branching) and result aggregation for complex tasks requiring multiple agents.

Abstracts over multiple coding agent providers (Claude, Gemini, Copilot, OpenCode) through a unified task interface, allowing users to switch providers or run tasks against multiple agents without changing client code. Implements a provider adapter pattern where each agent's API (function calling, streaming, response format) is normalized into a common task execution model with capability negotiation.

Streams agent execution results in real-time using Server-Sent Events (SSE) or WebSocket, allowing clients to receive partial results, intermediate steps, and progress updates as the agent executes rather than waiting for completion. Implements a streaming response handler that buffers and forwards agent output chunks to connected clients with minimal latency.

Automatically injects local codebase context (file structure, relevant code snippets, dependencies) into agent prompts before execution, enabling agents to generate code that's aware of existing patterns, APIs, and project structure. Implements a context extraction pipeline that parses the local codebase, identifies relevant files based on task description, and formats them for inclusion in the agent's input context window.

Maintains a persistent log of all agent task executions with full input/output history, execution metadata (duration, provider, cost), and audit trails for compliance. Stores task records in a queryable database with support for filtering, searching, and replaying past executions, enabling debugging and accountability.

Allows users to define reusable task templates with parameterized instructions, variable substitution, and conditional logic, enabling rapid task creation without rewriting orchestration code. Templates are stored as YAML/JSON definitions with support for Handlebars or similar templating syntax for dynamic content generation.

Validates agent-generated code and outputs against user-defined schemas, linters, and quality gates before accepting results. Implements a post-processing pipeline that runs static analysis, type checking, and custom validation rules on agent output, with automatic rejection or correction of non-conforming results.

Automatically selects the most cost-effective agent provider for each task based on estimated complexity, latency requirements, and provider pricing. Implements a cost model that predicts task complexity from input size and selects providers that minimize cost while meeting performance SLAs.

Implements automatic retry logic with exponential backoff, fallback providers, and error recovery strategies for failed agent tasks. Detects transient failures (rate limits, timeouts) vs permanent failures (invalid input, unsupported task) and applies appropriate recovery strategies.