ONE WORKSPACE. MORE POSSIBILITY.

Everything around the code.
Closer to the code.

A practical toolkit for understanding a project, making changes, and checking the result.

01

Context before code.

Explore your project with file search, symbol relationships, and relevant context for the task at hand.

CODEBASE UNDERSTANDING
02

An extra pair of hands.

Ask for a focused change, follow the assistant's work, and inspect the result in your own workspace.

AI-ASSISTED BUILDING
03

The output stays visible.

Run approved commands and see their logs alongside the task. Keep your checks close to your changes.

INTEGRATED TERMINAL
04

A native foundation.

A C++ engine powers parsing and complexity analysis, with 14 language grammars validated in the Linux release.

NATIVE CODE ANALYSIS
05

Find the costly patterns.

Investigate time and space complexity and likely network hotspots. Validate improvements against your own workloads.

PERFORMANCE INSIGHT
06

Permission with purpose.

Review file-change requests and choose command permissions for the workspace. Revoke remembered access when needed.

WORKSPACE CONTROLS

FROM CONTEXT TO CHANGE

See the work
as it happens.

Follow an illustrative coding task as the assistant finds context, writes a change, and runs example checks. In your workspace, the files, commands, and results depend on your project and permissions.

Get to know the workflow
commerce / orders.jsINTERACTIVE DEMO
src / services / orders.js
export function totalsByUser(users, orders) {  // Index once. Look up in constant time.  const totals = new Map(    users.map(user => [user.id, 0])  );   for (const order of orders) {    if (totals.has(order.userId)) {      totals.set(        order.userId,        totals.get(order.userId) + order.amount      );    }  }   return totals;}
TERMINAL~/commerce

rg -n "totalsByUser" src

src/services/orders.js:1

LAMIED AGENT

Read the context · locating related code

Illustrative workflow · not a live benchmark

Analysis, not a crystal ball.

Static time, space, and network findings help you investigate. They are not live latency measurements, database execution plans, or a guarantee that every change is faster.

Keep your engineering judgment.

AI output needs review. Use your tests, inspect changes, and measure behavior under realistic conditions before shipping.

Less switching tools. More making progress.

Try Lamied for Linux