Press and Media
  • Oct 6, 2026, 8:23:38 AM
  • 1 min read

Forbes

Why the next decade of software belongs to AI-native engineering teams

AI helps engineers work faster, but this speed hasn’t led to quicker delivery, better quality, or more reliable releases. In many organizations, the delivery system hasn’t kept up with AI’s pace, and the gap is growing. This whitepaper introduces the Continuous Delivery Loop (CDL), Coherent Solutions’ framework for moving from traditional SDLC to AI-native software engineering. The CDL was developed and tested within Coherent’s own delivery system. It connects AI-powered workflows into a coordinated system that helps close the gap between speed and real performance.

 

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Habit architecture looks like

Habit loops aren't designed in marketing — they're built into the product. Streak mechanics, progressive difficulty, personalized scheduling, and coach-to-member nudges all have to be engineered as first-class features, not afterthoughts.


Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp

Forbes
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 The drop-off 

Across the fitness platforms we've built and analyzed, the pattern is consistent: 60–70% of users who complete onboarding never return after week three. The trigger isn't price, content quality, or even UX friction — it's the absence of a habit loop.

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Bring the question. We will bring the argument, the framework, and the engineers who have shipped it before

Chris, Lorem - VP Digital & Data Fitness Franchise

Three Retention Signals

We analyzed session frequency, feature adoption, and churn events across 14 platforms over 24 months. Three signals predicted long-term retention with statistical reliability: completing three or more sessions in week one, adopting at least one social or community feature before day 7, and receiving a contextual — not scheduled — notification within 48 hours of the last session.

Platforms that engineered for all three retained 4.2x more users at 90 days than those that did not. None of the three required content investment. All three required product and engineering decisions made at the architecture stage.


Client Context

A leading U.S. fitness and wellness brand operates a national network of premium health clubs alongside a growing portfolio of digital products and services. As member expectations shifted toward connected, personalized exp

Relevant Questions

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

AI-native engineering integrates AI across the entire delivery process, from planning and development to testing and optimization.

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