Autonomous — 24/7

Your AI engineer.
Working while you sleep.

CodeForge applies structured development methodology to autonomous code generation. It reads your CLAUDE.md, understands your stack, and ships production code — correct on the first pass.

codeforge — autonomous session
~/projects/ghost-api cf run --task "add stripe webhook handler"
Parsed CLAUDE.md — 3 rules, 2 conventions loaded
Selected model: claude-sonnet-4 (SWE-bench: 92%)
Creating src/webhooks/stripe.ts
Writing src/webhooks/stripe.ts (42 lines)
Adding test: src/webhooks/stripe.test.ts
Running tests... passed (1/1)
DONE Pull request opened — 4 min 12 sec
~/projects/ghost-api
91% First-attempt accuracy
6x Faster than manual dev
24/7 No sleep required

Most AI coding agents
are almost right.
But not quite.

They hallucinate conventions, get stack details wrong, and generate code that passes tests but doesn't fit your codebase. You spend more time correcting them than writing the code yourself.

That's not AI-assisted development. That's expensive debugging.

Other agents
// Creates file in wrong directory
import { WrongClient } from '@old/client'
// Uses npm instead of pnpm
await npm.install()
// Generates JavaScript, not TypeScript
const data = getData()
✗ WRONG
CodeForge
// Reads CLAUDE.md first
import { DynamoClient } from '@lib/dynamo'
// Uses pnpm (per project rules)
await pnpm.install()
// Strict TypeScript, no `any`
const data: WebhookPayload = getData()
✓ CORRECT
Why it works

Other agents start blind.
CodeForge reads the brief.

MD

CLAUDE.md context

Reads your project conventions before writing a single line. Stack, conventions, rules, anti-patterns — all loaded from your CLAUDE.md.

Autonomous loop

Plans. Writes. Tests. Iterates. Commits. Files a PR. No human intervention for routine tasks. Reports when it hits something edge-case.

First-pass correctness

Structured approach delivers 91%+ first-attempt accuracy. Write once, ship once. No back-and-forth, no correction cycles, no wasted context tokens.

How it works

Three steps to shipping

01

Drop your CLAUDE.md

Drop your existing CLAUDE.md into CodeForge. It reads your conventions, rules, stack, and file structure — no migration required.

02

Assign a task

"Build the Stripe webhook handler" or "Add pagination to the /users endpoint." CodeForge picks the right model, plans the approach, and starts building.

03

Review the PR

CodeForge writes the code, runs your test suite, and opens a pull request. You review the diff — approve or request changes. The boring work is done.

Features

Built for production teams

Autonomy

Runs 24/7

Background agent works continuously on queued tasks. Wake up to completed PRs, not a blank editor.

Context

Deep project knowledge

Loads your entire project tree — structure, naming conventions, deployment pipeline, test patterns — before writing a line.

Quality

Test-driven by default

Every change runs your test suite. Stops regressions before they reach your branch. Reports coverage deltas.

Observability

Activity feed

Real-time logs of every decision, file changed, and command run. Full audit trail for code review and compliance.

Integration

GitHub native

Connects to your repos, respects branch rules, opens PRs with structured diffs, and respects your CODEOWNERS.

Escalation

Handles edge cases

Runs autonomously until it hits ambiguity. Flags the case, explains its reasoning, and waits for your call.

codeforge — overnight session
~/projects cf queue --status
 
Q-001 Stripe webhook handler COMPLETED
Q-002 Add rate limiting middleware COMPLETED
Q-003 Migrate auth to JWT COMPLETED
Q-004 Write API docs for /users IN PROGRESS
Q-005 Set up monitoring dashboard QUEUED
 
3 PRs merged since you left the office

Ship faster without
burning out your team.

CodeForge handles the routine. Your engineers handle the architecture.
That's how software teams actually scale.