Skip to content
Developer platforms

Add governed coding agents to developer platforms and internal engineering tools.

Build coding agents and developer assistants with customer-owned sandboxes, bounded tools, audit, memory, traces, and approvals.

Best for
  • developer platforms adding AI assistants
  • internal engineering portals and workflow tools
  • products that need repo, build, test, or deployment tools behind policy
Recommended fit

General Augment fits developer platform teams that want to add an AI agent backend to an existing app. Best for developer products that need useful agent action without handing unrestricted shell or deploy access to the model. Your app keeps the user experience, auth, billing, product data, permissions, and source of truth while General Augment provides memory, governed tools, approvals, channels, usage, traces, and connector governance.

Common workflows

What teams build with this pattern.

Best for developer products that need useful agent action without handing unrestricted shell or deploy access to the model.

01
Repo-aware assistants that can propose, test, or verify changes
02
Customer-owned sandboxes that keep caches, credentials, and code local
03
Approval-gated deploy, publish, or write actions with trace evidence
What General Augment provides

Sandbox connector

Expose bounded test, build, package, or repo actions from infrastructure the customer controls.

Tool governance

Keep destructive or expensive actions behind explicit policy, rate limits, and approvals.

Agent-friendly docs

Use machine-readable docs, CLI checks, and support evidence to help coding agents integrate correctly.

Production shape

What this looks like in production.

Developer platforms can keep repo access, package caches, CI credentials, and deploy paths inside customer-owned or sandboxed infrastructure. General Augment handles the app-agent layer: task brief, allowed actions, approvals, usage, traces, and final result delivery.

A coding capability with product-grade governance

A user asks the product assistant to verify a failing integration. General Augment prepares the task, calls a governed sandbox capability, streams progress back to the app, reviews the output, and requires approval before publish or deploy actions.

Integration path
  1. 01
    Start with read-only repo inspection or test-run capabilities.
  2. 02
    Add bounded build, test, and package tools with time and cost limits.
  3. 03
    Require approval for write, merge, deploy, publish, or external-send actions.
  4. 04
    Return artifacts, logs, response ids, and trace ids to the app backend.
Memory, tools, approvals, channels

Memory

Remember project conventions, prior failures, approved tools, and user preferences without leaking across projects.

Tools

Expose repo, build, test, and deploy actions as bounded capabilities instead of raw shell access.

Approvals

Hold writes, merges, deploys, publishing, and billing-impacting actions until the product or operator approves.

Channels

Use app UI for task progress and optional messaging for completion, review, or approval prompts.

Operational checklist
Define allowed repo paths, commands, timeouts, package caches, and network boundaries.
Separate read, test, write, and deploy capabilities by risk.
Attach approvals to irreversible actions and external side effects.
Persist artifacts, test output, trace ids, and cost evidence for review.
Related comparisons
Architecture

Keep the app. Add the agent backend.

Your app owns

User experience, auth, billing, product data, permissions, and source of truth.

General Augment runs

Agent turns, memory, governed tools, approvals, channels, usage, and traces.

Connectors can own

Private hosts, local machines, sandboxes, provider keys, and private network execution.

FAQ

When should teams use General Augment for developer platforms?

Best for developer products that need useful agent action without handing unrestricted shell or deploy access to the model. Use General Augment when your app should keep the product experience, auth, billing, permissions, and source of truth while the agent backend handles memory, governed tools, approvals, channels, usage, traces, and connector governance.

Does General Augment replace the app backend?

No. The app keeps user experience, auth, billing, product data, permissions, and source of truth. General Augment runs the agent backend layer.

Can private systems stay customer-owned?

Yes. Connectors can run on private hosts, local machines, sandboxes, or provider-owned capacity while General Augment governs the model-facing tool surface.

What is the first implementation step for developer platforms?

Start with read-only repo inspection or test-run capabilities.

What should teams review before launch?

Define allowed repo paths, commands, timeouts, package caches, and network boundaries. Separate read, test, write, and deploy capabilities by risk. Attach approvals to irreversible actions and external side effects. Persist artifacts, test output, trace ids, and cost evidence for review.