Running wcagent as a service, AI Code Tools

wcagent Agency Implementation, Delivering Verified AI Code Services

Learn how to package wcagent as a productized service for software development teams, from client onboarding and repository setup through task delivery with verified results. This course covers pricing models, client communication around verification gates, and scaling multi-client deployments while maintaining audit trails and security controls.

Open the decision record for wcagent

What does running wcagent for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Vendor pricing is not published in the supplied data; wcagent lists a flat-fee model. Confirm the current vendor cost with wcagent before committing, and separately budget for each client's eligible AI service account, which is not bundled.
Time to first value
Not published, wcagent lists time to value in days and medium setup complexity; confirm implementation effort with the vendor.
Payback
Not modeled, client price, labor cost, AI service usage, overhead, and expected volume are not supplied.
Guided implementation
8 hours

Is wcagent worth running as a client service?

The evidence supports wcagent as a controlled, evidence-gated AI coding workflow inside VS Code that can underpin a verifiable delivery service for software agencies. What remains unknown is the vendor's actual price, the separate AI service cost per client, and any measurable ROI, none of which are published.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • wcagent VS Code extension
  • Eligible third-party AI service account (ChatGPT, Claude, Gemini, Grok, or DeepSeek)
  • Desktop Visual Studio Code environment
  • Client repository files and symbols accessible locally
  • AGENTS.md project instructions file

People and inputs

  • Developer approval settings configuration for gating commands, edits, and tool execution
  • Context ranking configuration using files, symbols, diagnostics, and project instructions
  • Evidence history review process covering diffs, diagnostics, and test results
  • Specialist review workflow for security-sensitive or release-critical work

Lessons in this course

7 lessons on running wcagent for clients.

  1. 01Why wcagent Turns AI Code Work Into an Auditable Agency RetainerStrategy
  2. 02wcagent Evidence GateConcept
  3. 03When to Adopt wcagent: Client Repos Already Have Tests and BuildsEvaluation Rule
  4. 04Should Your Agency Adopt wcagent? (Verifiable AI Code Delivery)Decision Framework
  5. 05The wcagent Evidence Gap Trap: Why Agencies Fail With wcagent on Client ReposFailure Pattern
  6. 06wcagent Verifiable Code Delivery Retainer (7-10 days)Implementation Blueprint
  7. 07wcagent Client Workspace Setup (Onboarding)Operating Procedure

Included with the course

7 working documents for delivering this service.

  • wcagent Client Onboarding Checklistchecklist
  • Repository Context Ranking Configuration Templatetemplate
  • AI Code Task Delivery SOPsop
  • Verification Gates and Test Coverage Worksheetworksheet
  • Multi-Step Task Coordination and Recovery Guideguide
  • Evidence History and Audit Trail Documentation Templatetemplate
  • Security-Critical Review Isolation Approval Formworksheet

Listed by name. These documents are not yet published as individual downloads.