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ChatCode

#150 overall#31 ide extensionverified Sep 4, 2026

China Unicom's coding assistant, whose orchestrator mode splits a task into subtasks across ask, code, debug and architect modes

Key differences

China Unicom's coding assistant, whose orchestrator mode splits a task into subtasks across ask, code, debug and architect modes

  • Runs local. Distributed free through the VS Code and JetBrains marketplaces and tied to a China Unicom Yuanjing account; the vendor publishes no price list
  • Runs multiple agents. Listed for 18 of 49 tools in this category.
  • Keep in mind: Tool-call permissions include an execute permission, and the terminal is one of the @ context sources.

“Git worktree support arrived in v1.1.14, which is version numbering for people who intend to keep going.”

Website Compare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

ChatCode, 联通元景 ChatCode, is China Unicom's coding assistant for VS Code and the JetBrains IDEs, running on the operator's Yuanjing model platform. It began as a completion and chat tool covering code generation, translation, explanation, optimisation, comment generation, unit tests, knowledge-base question answering, project explanation and SQL generation, and grew an agent in late 2025: an Agent mode with ask, code, debug and architect modes covering the whole development flow, configurable tool-call permissions for reading, writing, retrying, mode switching, subtasks, execution, problem handling and todo management, and then an orchestrator mode that decomposes a complex task into subtasks, assigns each to a specialist mode and runs them in isolation, tracked in a recursive subtask tree. Later releases added apply-diff editing with parallel file reads, custom MCP tools, portable Agent Skills packs bundling instructions, scripts and resources with a skills marketplace, /init codebase analysis, checkpoints, auto-approve, slash commands, knowledge-graph retrieval, and git worktree support with per-session records of changed files.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
capabilities
Needs individual review
protocols
Needs individual review
models
Needs individual review
pricing
Needs individual review
install
Needs individual review
first_release
Needs individual review

Architecture

Type
IDE extension
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
java, python, go, c, cpp, csharp, javascript, typescript, php, ruby, rust, scala

Models

Backbonesrc ↗
Qwen3-Coder, Qwen3.5-397B-A17B, GLM-4.7, Kimi-K2.5, MiniMax-M2.5, DeepSeek-V4
Bring your own model
Yes
Provider configurations for DeepSeek, MiniMax and StepFun can be set alongside the bundled Yuanjing models.
Local models
No

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelsrc ↗
mixed
Starts at
n/a
Free tier
No
Bring your own key
Yes

Distributed free through the VS Code and JetBrains marketplaces and tied to a China Unicom Yuanjing account; the vendor publishes no price list

Openness

Open sourceunsourced
No
License
proprietary
First release
2025-03
chinatelcochina-unicomyuanjingmcpskillsorchestratorclosed-source

Los Agentes on ChatCode

Who are they?
The ruling
El JuezThe judge

La Inversora and La Jefa look at the same owner and reach opposite conclusions, because one is pricing the vendor's survival and the other is pricing her own paperwork.

Adopt with conditions
Reasoning and trade-offs · AI analysis

La Inversora scores longevity high and the reason is unusual on this board: the parent is not going anywhere, and the tool exists to sell something else. La Jefa scores the same row low because the account it requires is not an account her company can open, and El Crítico adds that the loop delegates to itself without a stated floor.

La Inversora is right about the vendor and La Jefa is right about the buyer, so the ruling turns on which one you are. Adopt with conditions, the condition being that you already hold the operator account this needs, and that El Crítico's approval gates stay on.

Agree with El Juez?
El AmigoThe friend

Pick ChatCode if you work where the frontier vendors are unreachable and want four working modes rather than one chat box; pick Zoo Code if you can reach whatever provider you like.

6.5
Reasoning and trade-offs · AI analysis

The deciding trait is the mode split. Ask, code, debug and architect are separate lanes rather than one assistant guessing which job you meant, and in practice that means the debug session does not wander into a redesign and the architecture question does not come back as a patch. Once you get used to naming the job first, going back feels careless.

What you accept is a tool built for one market and documented for it. Pick it if that is your market. Pick Zoo Code if you want the same modes without the account.

reliability
6
usefulness
7
cost
7
longevity
6
Agree with El Amigo?
El CríticoThe critic

Orchestrator mode assigns subtasks to specialist modes and tracks them in a recursive subtask tree. Nothing published bounds that recursion, and auto-approve turns the gates off.

5.5
Reasoning and trade-offs · AI analysis

The risk is recursion with the brakes optional. A task decomposes into subtasks, each subtask runs in isolation and may decompose again, and the tree is described without a depth limit, a spend ceiling or a documented rule for detecting two modes handing work back and forth. Turn on auto-approve, which is a listed feature, and nobody is watching the branch that forgot to stop.

What it does right is granularity of permission. Reading, writing, retrying, mode switching and execution are separate grants, so the gate you leave open is the gate you chose.

reliability
5
usefulness
6
cost
5
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Edits apply as diffs with parallel file reads, and retrieval runs over a knowledge graph rather than plain embedding similarity. Both are stated designs; neither is measured.

6.5
Reasoning and trade-offs · AI analysis
  1. Applying a diff instead of rewriting a file bounds the blast radius of a bad generation to the hunk, which is the edit format that survives model changes best. 2. Reading files in parallel is a latency decision rather than a quality one, and it is worth noting that the two are described together as though they were the same improvement.

  2. Knowledge-graph retrieval is named without a description of what the nodes are or how they are built, so it cannot be compared with anything. No benchmark is published, and none is claimed.

reliability
7
usefulness
6
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

The owner is a state-controlled telecom operator, and this plugin is a customer-acquisition channel for its Yuanjing model platform. No price list, because the price is somewhere else.

7.0
Reasoning and trade-offs · AI analysis

Read the incentive rather than the product. An operator monetises inference capacity, so the editor plugin is distribution for the platform underneath and will be funded as long as that platform matters to the parent. That is a stronger continuity story than most venture-backed tools here can tell, and it is also why nothing is published about what it costs.

Moat: the parent's own customer base. Likely acquirer: none, and no exit is intended. Position: the vendor risk is low and the pricing risk is entirely unknown, which is an unusual pair.

reliability
8
usefulness
6
cost
6
longevity
8
Agree with La Inversora?
La JefaThe CTO

It installs free from both marketplaces, and then every one of my sixty engineers needs a China Unicom Yuanjing account, which is not a form my procurement team can fill in.

4.8
Reasoning and trade-offs · AI analysis

The blocker is identity, not money. Sixty seats cost nothing to install and then require sixty accounts on an operator platform my company has no relationship with, and the published material describes no single sign-on, no directory provisioning, no audit export and no retention statement I could hand to a security reviewer.

There is also nothing that runs unattended, so it never becomes a pipeline step I can measure. Not yet, for a team outside its home market. For a team inside it that already holds the account, the answer flips and the rollout is a memo.

reliability
5
usefulness
4
cost
4
longevity
6
Agree with La Jefa?
El HackerThe tinkerer

Closed source, but provider configurations for DeepSeek, MiniMax and StepFun sit alongside the bundled models, and custom MCP tools mean my own servers reach it.

6.0
Reasoning and trade-offs · AI analysis

Grudging respect for the escape hatch. A vendor with its own model platform had every reason to lock the picker and did not, so I can route turns to a provider it does not own, and my MCP servers register as tools rather than being replaced by a curated list. Skills packs bundle instructions, scripts and resources, which is a format I can write by hand.

What I cannot do is read it, fork it, or serve weights from my own hardware, so the day the picker narrows I have no recourse except leaving.

reliability
5
usefulness
7
cost
7
longevity
5
Agree with El Hacker?