# TRAE / TraeCode TRAE combines TraeCode, an AI coding environment for working with source files, and TraeWork, a task-oriented AI work assistant. This page focuses on choosing and setting up the coding workflow, reviewing changes and understanding subscription usage. Canonical URL: https://aiidelist.com/ide/trae Language: en Updated: 2026-10-03 ## Overview - Category: AI IDEs / AI Code Editors - TRAE combines TraeCode, an AI coding environment for working with source files, and TraeWork, a task-oriented AI work assistant. This page focuses on choosing and setting up the coding workflow, reviewing changes and understanding subscription usage. - Editor base: VS Code - Platforms: macOS, Windows, Linux - Open source: No ## Quick verdict TRAE combines TraeCode, an AI coding environment for working with source files, and TraeWork, a task-oriented AI work assistant. This page focuses on choosing and setting up the coding workflow, reviewing changes and understanding subscription usage. ## Best for - Describe one observable result: for example, add a required field to an existing form and show an error without submitting invalid data. Include the relevant files, existing validation helper and the behavior that must stay unchanged. - TraeCode is the starting point when your work depends on a repository, editor extensions, a terminal and reviewing file changes. TraeWork starts from tasks and deliverables. The names describe different working surfaces; do not assume that a feature, cloud-task limit or setup instruction applies equally to both. Older TRAE IDE tutorials can still explain useful concepts, but their interface labels may no longer match your installation. ## TraeCode, TraeWork and the older TRAE IDE name TraeCode is the starting point when your work depends on a repository, editor extensions, a terminal and reviewing file changes. TraeWork starts from tasks and deliverables. The names describe different working surfaces; do not assume that a feature, cloud-task limit or setup instruction applies equally to both. Older TRAE IDE tutorials can still explain useful concepts, but their interface labels may no longer match your installation. The developer-focused TRAE environment, with IDE and SOLO modes for working on software projects. AI-native IDE · TRAE / ByteDance · macOS · Windows · Linux Compare [TraeWork and TraeCode](/blog/traeide-traework-vs-traecode) , or visit the [official download guide](/blog/traeide-download) . ## Suitable workflows Developers who want code navigation and an agent in the same workspace. ## Limitations and billing Usage is metered. Check the model picker and regional plan before moving an existing workflow. ## Capabilities we verified Agent workflow · MCP · Rules / instructions · Skills · Memory This is an evidence-based shortlist, not an exhaustive feature inventory. Omitted capabilities have not been checked for this record. ## Pricing & usage **Paid from $20/mo** Subscription + metered model usage. The cost of metered usage or an external agent can be separate from the subscription. ## Models & access The official model list is dynamically rendered. Check the in-app picker; this guide does not promise specific model versions. ## Project evaluation checklist 1. Open a small, familiar project and confirm that your essential language tooling works. 2. Give the agent one bounded change with an observable acceptance criterion. 3. Review the diff, run the project’s checks and compare the result with your current workflow. 4. Inspect usage after the task. Estimate a month of similar work, including any separate model or agent bill. ## A complete first task: change, verify and review 1. Choose a small repository that already builds. Save a clean Git checkpoint and write down the command that currently passes. This gives you a baseline for distinguishing an existing problem from a generated regression. 2. Describe one observable result: for example, add a required field to an existing form and show an error without submitting invalid data. Include the relevant files, existing validation helper and the behavior that must stay unchanged. 3. Ask for a short plan before editing. Check that it names the affected components, data flow and verification command. Resolve missing context before allowing a broad refactor. 4. Review the diff in small batches. Check dependencies, generated files, environment variables and error handling as well as the visible result. Run the project checks and exercise both the successful and failing paths. 5. Inspect the usage record after the task. Record the accepted outcome, review time and usage consumed. Repeat on a second representative task before choosing a paid plan or moving a team workflow. ## A task brief you can adapt ```text Goal: describe the user-visible change. Context: list the relevant files and existing implementation. Constraints: keep the public API and use the existing dependencies. Verification: run the repository's documented checks and test the failure path. Completion: summarize changed files, checks performed and remaining limitations. ``` ## When the result is not usable A successful request does not prove the code works. If the agent edits the wrong files, reduce the scope and supply the entry point explicitly. If a command fails, reproduce it in the same terminal environment before changing the prompt. If an MCP connection fails, separate server startup, credentials and client configuration. If usage is exhausted, check the account balance and selected model before repeating the same request. Keep a failed patch small enough to revert without losing unrelated work. ## Common questions before you switch ### Does a paid subscription mean unlimited agent work? No. Subscription price, included usage, model access and additional usage are different things. A plan with unlimited autocomplete does not imply unlimited model requests or cloud tasks. ### Should I connect every MCP server at once? Start with the one integration needed by your current task. Confirm that it starts, exposes the expected tools and receives only the intended project context before adding another. ### How should I compare two AI editors? Use the same repository, task and acceptance checks. Compare correct changes, review effort, setup friction and recorded usage. A long feature list does not establish which editor produces better code for your project. ## Related TRAE guides - [TRAE product overview](/ide/trae) - [Trae IDE / TraeCode Download](/blog/traeide-download) - [TraeCode Guide](/blog/traeide-traecode) - [TraeWork Guide](/blog/traeide-traework) - [TRAE Pricing: TraeCode & TraeWork](/blog/traeide-pricing) - [TRAE Models & Model Access](/blog/traeide-models) - [TraeWork vs TraeCode (Trae IDE)](/blog/traeide-traework-vs-traecode) - [Trae MCP Setup & Troubleshooting](/blog/traeide-mcp) - [Rules for AI Coding Workflows](/blog/traeide-rules) - [Skills, Rules & MCP: What to Use](/blog/traeide-skills) - [TRAE Troubleshooting](/blog/traeide-troubleshooting) International monthly USD snapshot checked on October 3, 2026. Taxes, annual billing, regional products and additional usage may differ. Included usage is not an unlimited token allowance. ## Pricing freemium - Free: $0 — month — Auto mode with limited usage and autocomplete. - Pro: $20 — month — $20 monthly usage; Auto and available models; unlimited autocomplete; up to 10 TraeWork cloud tasks at once. - Pro+: $60 — month — $60 monthly usage; up to 15 concurrent TraeWork cloud tasks. - Ultra: $200 — month — $200 monthly usage; model early access; up to 20 concurrent TraeWork cloud tasks. Pricing checked: 2026-10-03 ## Privacy and data handling Trae provides a privacy policy and a privacy mode document, but developers working with proprietary code should review data handling terms, disable nonessential data sharing where available, and avoid sending secrets or sensitive repositories to AI features. ## Alternatives - Cursor - Windsurf - GitHub Copilot - Claude Code - Cline - Continue - JetBrains AI Assistant - Replit ## Sources - [Official website](https://www.trae.ai) - [Documentation](https://docs.trae.ai/) - [Download](https://www.trae.ai/download) - [Pricing](https://www.trae.ai/pricing) - [TRAE](https://www.trae.ai/) - [TRAE Pricing](https://www.trae.ai/pricing) - [TRAE Download](https://www.trae.ai/download) Last checked: 2026-09-21 ## Update history - 2026-06-04: Created directory entry using official Trae website, pricing page, and documentation references. - 2026-10-03: International monthly USD snapshot checked on October 3, 2026. Taxes, annual billing, regional products and additional usage may differ. Included usage is not an unlimited token allowance.