
Looks right. Isn't verified.
AI code passes syntax checks but isn't verified against your actual codebase, architecture, or dependencies. Hallucinations reach production.
45% of AI-generated code has security vulnerabilities. Forge is the verification layer between AI generation and production.

The problem
AI is writing code in your repos right now. The question isn't whether to allow it — it's how to verify it.


AI code passes syntax checks but isn't verified against your actual codebase, architecture, or dependencies. Hallucinations reach production.

Security reviews and SOC2 audits can't trace AI-generated code back to the prompts, models, or context that produced it. Compliance breaks down.

Most AI dev tools are autocomplete with a fancy UI. There's no structured verification between generation and merge — just hope and code review fatigue.
Six agents. One verified output.
A structured handoff between specialized agents — each one accountable for a stage in the verification chain.
Intake & Parse
Receives plain-English feature request and extracts intent, scope, and constraints.
Codebase Analysis
Maps existing architecture, dependencies, and patterns from your actual repository.
Generation
Produces candidate code grounded in real codebase context — not generic model assumptions.
Validation
EDIT_TARGETS hallucination prevention layer verifies every change against the codebase.
Agent F Review
Senior-engineer-level code review simulation catches what humans miss in fatigue.
Audit Trail
SOC2-compliant log of every agent decision, prompt, and output. Compliance built in.

The moat
Verification is not a feature bolted onto generation — it is the product. Every layer is designed for enterprise auditability.
Hallucination prevention baked into the generation layer. Not a filter applied after generation — a constraint that shapes what the model is allowed to output in the first place.
Code is verified against your actual repository in real-time — not against a generic model context or a snapshot from last week. Your codebase is the source of truth.
Every agent decision logged. Every output traceable. Every prompt archived. Compliance teams audit AI-generated code with the same rigor as human-written code.
Engineering Outcomes
Every metric below comes from Forge deployments — measured in production, signed off by engineering and security leads.
Talk to engineeringReduction in design-to-deployment cycle time
Decrease in wasted marketing spend
Faster operations process cycles
Lower customer support costs
Ready to ship safely?
Forge AI is in private Beta with select engineering teams. Share your stack on our contact form and we'll schedule a Technical Demo.
Opens the Forge AI Beta form — we'll only use your details for onboarding and demo scheduling.