AI-generated scene: a spark turning a wireframe cube into solid glass.
Spark

SPARK · PROTOTYPE TO MVP

Vibe coding, made repeatable. At enterprise quality.

Spark is the framework and certification for disciplined vibe coding. A validated idea from Litmus becomes a working prototype that can serve as the MVP, with the requirements, design decisions and Lightning Build handoff that make it productizable.

Book a 30-minute call → Validate the idea first with Litmus
55% fasterAI-assisted task completion
84%of developers use or plan to use AI tools
−19%experienced-dev productivity without discipline
Daysfrom validated idea to working prototype

A Mantle framework

WITH SPARK

A validated idea becomes a productizable MVP, not a throwaway demo.

  1. 1Starts from evidenceHypothesis, customer evidence and kill criteria carried in from Litmus.
  2. 2Builds with disciplineStructured prompts, test scaffolds, eval harnesses and decision records.
  3. 3Hands off cleanInto Lightning Build with test harness and architecture record intact.
55%

faster on one bounded coding task with an AI assistant, in a controlled trial

−7.2%

estimated change in delivery stability for every 25% rise in AI adoption

3–4 weeks

from a validated bet to a working MVP

REQUIREMENTS

The requirements discipline vibe coding actually needs.

  • Structured prompts, test scaffolds, eval harnesses and architecture decision records
  • Litmus handoff: validated hypothesis, customer evidence and kill criteria intact
  • Models chosen per task (Anthropic, OpenAI, Google, Mistral), not by default
ARCHITECTURE

Productizable from day one so the MVP never needs a rebuild.

  • Data model, auth model, observability and deploy path designed for graduation
  • Unit, integration and behavioral tests scaffolded into the prototype
  • Tech-debt guardrails: code-clone detection, complexity bounds, dependency hygiene
QUALITY

Quality you can prove not quality you promise.

  • Eval harness from day one: LLM-as-judge plus deterministic asserts
  • Trace replay, prompt audit and hallucination monitoring built in
  • Every AI-assisted decision traceable and defensible to the auditor
CERTIFICATION

A team capability not single-developer heroics.

  • Engineers certified in the discipline: curriculum, capstone, recertification cycle
  • Lightning Build handoff with a clean test harness, architecture record and operating posture
  • Forge automates the PM, PO and BA artifact chain that Spark and Lightning Build run on
Quantified outcomes

From months to weeks, from $200K to a fraction — without the stability tax.

Spark captures the AI-assisted upside without paying the stability penalty that comes with undisciplined vibe coding.

55% faster task completionGitHub RCT benchmark for AI-assisted coding
4–6 months → weeksMVP cycle compression vs. traditional agency/consultancy build
$100K–$200K → fractionSpark MVP cost vs. traditional enterprise build
−19% → +30%Reversing the METR senior-dev slowdown with discipline
46%Of code in Copilot-assisted projects already AI-generated (GitHub)
16–30% productivity gainsMcKinsey top-quintile AI-in-software outcomes
31–45% quality gainsMcKinsey top-quintile when discipline is in place
Certification-backedEngineers certified in the discipline, not just exposed to tooling
Productizable Day 1Prototype graduates into MVP without rebuild

Validated idea to working MVP, built to last.

mantlenow.com/products/spark   Outcomes, accelerated.
Book a 30-minute call → Validate the idea first with Litmus