How it works

Every Hand-Off Is A Compression Event

What is the 8 Ways Context Disappears diagnostic?

Your developers already have AI.
What your agents do not have is your institution.

The credit policy behind a rule, the decision behind an architecture pattern, the incident behind a regression test. Every SDLC hand-off, from demand to requirement, requirement to design, design to code and code to test, compresses that knowledge. Experienced people used to fill the gaps from memory. Agents cannot. They produce code that works and fails at the same time: technically correct, operationally or regulatorily wrong.

We only see anonymous usage statistics, and a summary of your results if you choose to contact us.

  1. 01
    ScoreRate each of the eight patterns: 0 if you rarely see it, 1 if it happens sometimes, 2 if it happens often.
  2. 02
    TotalAdd up a score out of 16 that places your delivery in one of three bands.
  3. 03
    StartSee your highest-scoring patterns, what closes each one, and a report to share.

Why it matters now

How to score each pattern

Rarely (0)
You rarely see this pattern in your delivery.
Sometimes (1)
It happens on some journeys, teams or releases.
Often (2)
It happens often enough that people expect it.

Few leaders see every hand-off. Requirements, architecture, development, test and release often sit with different teams and partners.

Loop in a colleague for the stages you do not own. Send them this diagnostic, and their scores fill in the patterns you have left blank.

0 of 8 patterns scored. Score a pattern to start.

FAQs

SDLC Context Diagnostic: Frequently Asked Questions

What is the 8 Ways Context Disappears diagnostic?

A free five-minute self-diagnostic from Maveric Systems. You score eight patterns where context is lost across SDLC hand-offs, from 0 (rarely) to 2 (often), for a total out of 16 that maps to one of three starting points.

Who should take it?

It is designed for engineering and architecture leaders at US banks, insurers and capital-markets firms, including CIOs, CTOs, heads of engineering, enterprise architects and delivery leaders who are scaling AI coding assistants and agents across the SDLC.

What are the eight patterns?

Aging (requirements and test), Omission (requirements to design), Substitution (design and development), Translation (every hand-off), Fragmentation (design and release), Access failure (vendor and partner boundaries), Compression loss (long programs and multi-team hand-offs) and Contamination (any agent with tools).

How is the score calculated?

Each pattern is scored 0 if you rarely see it, 1 if it happens sometimes and 2 if it happens often. The total runs from 0 to 16. A total of 0 to 4 means context mostly survives your hand-offs, 5 to 9 means agents are working from partial reality on some journeys, and 10 to 16 means tacit knowledge is carrying your delivery.

What is a compression event?

Every SDLC hand-off compresses what the previous stage knew into a ticket, a story, a design or a test. People with long tenure used to restore the missing detail from memory. AI agents work only from what they are given, so the loss shows up as code that passes its tests and still breaks a policy, a control or an exception.

How long does it take?

About five minutes. You can score only the patterns you see directly, view a provisional result, and use Share For Input to ask colleagues to score the rest.

Is my data stored or shared?

Your scores are saved only in your own browser. Maveric sees anonymous usage statistics, and a short summary of your results only if you choose to click Book A Demo.

Is the result an industry benchmark?

No. It is a self-diagnostic and a prioritization aid. The patterns and score bands are a suggested framework from Maveric Systems, not an independent benchmark or a regulatory standard.

Important notice. This diagnostic is general information and a self-assessment aid. It is not legal, regulatory, risk or professional advice. Requirements differ by jurisdiction and change over time, so confirm what applies to your institution with your own risk, legal and compliance teams. The eight patterns and score bands (0 to 4, 5 to 9, 10 to 16) are a suggested framework from Maveric Systems and not an industry or regulatory standard. Your scores are saved only in this browser.

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Maveric Systems is a banking-exclusive technology specialist with 25+ years of domain expertise, engineering trust in AI-first banking. We deploy AI at the core through our proprietary AI@Scale framework and AI-powered platforms, guided by principles that engineer trust by design. Our pragmatic, outcome-driven approach, and AI services spanning advisory, CoE establishment and specialist competencies led engagements make us the trusted engineering partner for the AI era.

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The Context ContinuumThe full method behind the eight patterns, with a worked hand-off for a credit-limit increase traced from demand to test.

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