Built for VS Code Repository-aware AI tasks with local controls and verifiable results. See how it works

AI-assisted development in VS Code

One controlled workflow from request to verified code.

WebCodingAgent combines eligible AI access with focused repository context, developer-approved local tools, and concrete completion evidence.

Build with context

Give AI the repository details that matter.

Open a task in desktop VS Code, select an eligible AI connection, and let wcagent assemble the relevant files, symbols, diagnostics, and project instructions for the work.

01

Focused context

Rank task-relevant code instead of sending a blind prompt or an indiscriminate repository dump.

02

Explicit provider choice

Select an AI service and connection method you are authorized to use.

03

Repository continuity

Keep open files, Git state, diagnostics, language services, and the terminal in the same VS Code workflow.

Review

Increase scrutiny when the blast radius grows.

Security-sensitive, release-critical, and architectural work can trigger isolated specialists. Each specialist examines the repository and tool evidence independently, then reports concrete findings instead of ceremonial approval.

Security

Challenge trust boundaries

Look for data exposure, unsafe parsing, authorization gaps, dependency risk, and bypass paths.

Quality

Test the failure modes

Review regressions, edge cases, cancellation, concurrency, and the checks most likely to lie.

Architecture

Protect system contracts

Trace cross-component changes through protocols, compatibility rules, and durable state.

Release

Prove readiness

Connect artifacts, version checks, documentation, and validation into one explicit release gate.

Control local tools

Keep repository authority inside VS Code.

WebCodingAgent provides a consistent workflow for context, approvals, local execution, and completion evidence while each developer supplies an eligible AI account separately.

01

Developers

Review proposed commands and file changes under workspace-specific approval settings.

02

Reviewers

See the diff, commands, results, approvals, and open risks regardless of which eligible AI connection supplied the reasoning.

03

Leaders

Standardize proof requirements without standardizing every developer on one model provider.

04

Security

Keep provider authentication separate from repository access and local execution authority.

Model-flexible by design

Change the model. Keep the workspace.

You can select another available eligible connection when the task calls for it. Your repository context, local permissions, execution controls, and evidence trail remain anchored in wcagent.

01
When another model fits betterChoose a different eligible AI connection without switching editors.
02
When local control mattersKeep commands and file mutations governed by VS Code and your approval settings.
03
When proof mattersLocal tests and diffs stay authoritative regardless of the selected model.