Skip to main content

​
What is the Coding Agent?

The Coding Agent is Zencoder’s primary development tool that generates, modifies, and refactors code across multiple files and languages. It has built-in validation and error correction, enabling complex development tasks from a single prompt.

​
Accessing the Coding Agent

To access the Coding Agent:
  1. Open the agent selector with Cmd+. (Mac) or Ctrl+. (Windows/Linux)
  2. Select Coding from the dropdown menu
  3. The Coding Agent can perform complex tasks like:
    • Creating and modifying multiple files
    • Implementing entire features
    • Searching the web for documentation
    • Running validation and tests
Agent selector showing Coding Agent option
Each chat maintains its selected agent type throughout the conversation. You can start new chats with different agents as needed using the agent selector.

​
How It Works

When you send a message to the Coding Agent, it follows a multi-step process:
1

Understand context

The agent analyzes your project’s structure, patterns, and coding standards from the current workspace and any active Skills.
2

Plan the changes

Based on your prompt, the agent creates a plan — which files to read, edit, or create, and which tools to invoke (shell commands, web search, MCP calls).
3

Execute and iterate

The agent makes edits across multiple files, runs commands, and validates its output. If errors occur (lint failures, type errors, test failures), it self-corrects automatically.
4

Present results

You see a diff of all changes with inline explanations. Accept, reject, or refine with follow-up prompts in the same chat.
There is no limit on the number of tool calls the agent can make in a single turn. Complex tasks may use dozens of tool calls across planning, editing, and validation.

​
Agent Tools

The Coding Agent has access to a full set of tools that it invokes autonomously:
ToolWhat it does
File EditorRead, create, edit, and delete files across your workspace
Shell CommandsRun terminal commands (build, test, lint, git, package managers)
Codebase SearchSemantic and full-text search across your project files
Web SearchSearch the web for documentation, APIs, and solutions
Fetch WebpageRetrieve content from URLs (docs, API references, stack traces)
Git OperationsStage, commit, diff, and manage branches
MCP ToolsAccess any connected MCP servers (databases, Jira, GitHub, Slack, etc.)
File SearchFind files by name or pattern across the workspace
Gather RequirementsAsk clarifying questions before proceeding with ambiguous tasks
Connect MCP servers to give the agent access to your team’s tools — pull Jira tickets, query databases, post to Slack, and more. See Integrations & MCP.

​
Technical Capabilities

Multi-file Operations

Generates and modifies code across multiple files simultaneously while maintaining consistency and proper references

Language Agnostic

Supports multiple programming languages and frameworks with language-specific optimizations and best practices

Codebase Understanding

Analyzes existing code structure, patterns, and conventions to generate contextually appropriate solutions

Automated Validation and Fixes

Validates generated code against syntax rules, project conventions, and integration requirements

​
Tips for Better Results

Instead of “refactor the API,” try “refactor the user authentication endpoints in src/api/auth.ts to use the new session middleware.” The agent works better with clear boundaries.
If you always want a certain code style, test pattern, or error handling approach, define it as a Skill so every agent response follows it automatically.
Include “run the tests after making changes” in your prompt. The agent will execute your test suite and self-correct if anything fails.
Start a new chat for each distinct task. Long, multi-topic chats can cause the agent to lose context on earlier instructions.
Use @file, @folder, or paste URLs to give the agent targeted context.

AI Agents

Create custom agents with specific instructions and tools for recurring tasks

Skills

Reusable instruction packages that agents load automatically based on task context

Integrations & MCP

Connect external tools via Model Context Protocol

Supported Models

Choose from 10+ models or bring your own API key