Yeti Build Agent · Enterprise tier
The Yeti Build Agent is SnowCoder's full backlog-delivery engine. Plan, Build, Verify, Heal - in a 10-stage fail-closed pipeline that ships the scope to your customer's instance and proves each acceptance criterion is met.
100% pass rate on the 291-story build benchmark.
The Yeti Build Agent is the engine behind that number.
Why the Yeti Build Agent outperforms a generic LLM: ten discrete phases, each with its own checks. A generic LLM gives you a script. The Yeti Build Agent gives you a deployed, audited, signed-off-able scoped app.
Pre-flight checks on the story and on destructive tasks against the target instance.
Refines requirements and context ready for build.
Reads existing tables, fields, and scope state.
Generates business rules, scripts, script includes.
UI policies, client scripts, forms.
Emits @servicenow/sdk-compatible code.
Builds Automated Test Framework tests.
Packages artefacts for promotion.
Security and quality pass - injection, XSS, credentials.
Confirmation for destructive changes; SDK build + post-install REST verification.
Real Build Progress view from a nightly benchmark run. Each story expands to show all 12 pipeline phases - Validation, Technical Spec, Data Model, Business Logic, Frontend Config, SDK Code Gen, Test Generation, Update Set, Verification, Security Audit, Deployment, ATF Execution, and Requirement Verification - each independently audited.

Most customers don't start from a blank page. SnowCoder reads the backlog you already have, or gives you a pre-authored pack to start from.
Pull Epics and Stories directly from your customer's ServiceNow Agile board - rm_story, rm_release_scope, the full SAFe-compatible hierarchy. SnowCoder converts human user stories into AI-optimised stories with acceptance criteria. Bi-directional: build status posts back to the Agile board.
Six pre-authored starter packs cover the most common ServiceNow deliveries:
Every imported story is paired with an AI-enhanced version - tighter title, clearer description, explicit acceptance criteria, and implementation notes ready for the build pipeline. Approve, edit, or re-analyze before anything builds.

Four operating principles the Yeti Build Agent enforces by design. Not engineering trade-offs - guarantees we make to you.
Anything that drops a table, removes a field, or rewrites a script comes back to a human for explicit approval before deploy. The Yeti Build Agent does not surprise-delete.
Every build carries a token budget that the heal loop cannot exceed. A misbehaving agent stops itself rather than burning through your balance.
When a verification fails, SnowCoder retries the fix up to 5 times. Successful repair patterns are saved to memory so the same class of issue is solved faster next time.
An independent audit verifies every deployed artefact against the original acceptance criteria - not just "looks like it deployed" but "the AC is actually met".
The Yeti Build Agent ships scoped-app artefacts via the ServiceNow Fluent SDK. The 42 plugin classes cover the standard ServiceNow scope:
Full plugin list available on request - generated artefacts are validated against ServiceNow best practices before they leave the Yeti Build Agent.
AI code generation gives you a script. The Yeti Build Agent takes a written brief, produces a backlog, builds the whole scoped app (tables, business rules, ACLs, UI policies, ATF tests, notifications, etc.), installs it via the ServiceNow Fluent SDK, runs the super-audit, and auto-heals failures - in one pass. It's the engine behind the 42-artifact, 291-story benchmark.
Enterprise and Enterprise+. Standard tier covers Yeti AI Chat, Instance Audit (500+ checkpoints), MCP, and Knowledge Base - the conversational and audit surfaces. The Yeti Build Agent is the production-scale build pipeline and is part of the Enterprise package.
The auto-heal loop tries surgical patches first, then the LLM, up to 5 attempts. HealBudget caps the cost of those attempts so you don't pay for runaway retries. If healing exhausts the budget, the build halts with a clear report of what failed and what was tried.
Yes, but only after explicit destructive-change confirmation from a human. We recommend the first 2–3 builds run non-prod while the team gets comfortable with the approval gate and the per-AC translation diff that ships with every build.
Most customers import their backlog from ServiceNow Agile (SAFe-compatible: Epics + Stories + Acceptance Criteria) or start from one of six pre-authored starter packs. You can also paste a customer brief into Yeti and have it draft the AI Backlog for you before the Yeti Build Agent runs.
Into the customer's ServiceNow instance via OAuth, as a scoped app shipped through the @servicenow/sdk install pipeline. The SDK install model means you get update-set-comparable artefacts plus the source-of-truth Fluent code, not just blobs of XML.
Enterprise customers get the Yeti Build Agent included with white-glove onboarding for the first 2–3 builds. Most teams move from approved spec to deployed scope by week 3.