AI PDLC

AI that accelerates the entire product development lifecycle.

Build faster, code cleaner, and improve product quality with AI integrated across your product development lifecycle — spec, design, engineering, QA, and release.

We’ll explore your technology goals and challenges
You’ll get expert insights on the best path forward
We’ll outline next steps to bring your solution to life
FASTER CODE, Same number of commits?

The whole lifecycle rebuilt, on your own live backlog.

Built on a true baseline

Through Hypr (our enterprise-class development harness) we trace real features from idea to production, time every stage and handoff, and score your organization on a six-dimension maturity model before touching anything.

Built on your own live work

We rebuild lifecycle stages on your actual backlog, shipping production code the whole time. Not a sandbox, not a pilot repo, and not a simulated environment.

In-flow training

Engineers, PMs, and designers learn the new system by running it on their own projects, with certification built into the work. The muscle memory gets built live, on your product.

Built for in-house ownership

FullStack leads the first builds, then co-leads, then coaches from the side and steps back. You exit with the playbooks, agent configs, and a champion network to onboard the next team without us.

Enterprise software platforms

Develop the systems that run your business.

  • ERP and CRM development
  • ATS and internal operations tools
  • Workflow automation systems
  • Enterprise system integrations

Intelligent software architecture

Design software foundations built for long-term scale.

  • Scalable system architecture
  • Performance and reliability engineering
  • Cloud-native infrastructure design
  • AI-enabled engineering workflows
We'll trace three real features from idea to production and time every handoff.
You'll get a maturity score across six dimensions and a locked baseline.
We'll name the three lifecycle stages costing you the most.
Case Studies

Our client impact in action

Rapid Modernization and Quality Code

Paciolan partnered with FullStack to roll out AI-native workflows across its entire engineering organization, freeing teams from repetitive migration work so they could focus on quality and complex problem solving. Modernization timelines improved more than 30%.

Extra Duty Solutions — Full Transformation

A six-week cohort with Hypr deployed against their repos, training and certification in-flow, and a before-and-after outcome report at close. The closest structural match to the full AI PDLC engagement and the strongest documented proof.

Bradford Airport Logistics — Embedded Applied AI Engineer

An eight to ten week part-time embed that produced a written operating model and shipped agents — the best proof of the embedded motion and of the expansion pattern this offering is built on.

testimonials

What our clients are saying

“FullStack’s deep understanding of BenjaminWest’s needs, coupled with consistent updates, made the collaboration seamless and the outcome outstanding.”
Joe Eikelberner, COO
BenjaminWest
“FullStack acted as true partners and advisors. The expertise around AI and the level of developers, engineers—whatever role it was that came to the table—was just phenomenal."
Marisa Kopec, CEO
Lux Research
Speed is only the byproduct; the real value is better software and better use of our people.
Raj Tatta VP of Engineering
Paciolan
MOVING SAFELY

Audit your idea-to-production cycle time first.

Every engagement opens with a one to two week fixed-fee Diagnose: three real features traced end to end, every stage and handoff timed, a six-dimension maturity score, and a locked baseline.

Core arc in 8–10 weeks*

From diagnosis to a client-led team running the new lifecycle themselves, on a defined cohort of up to 20 participants.

Measured weekly against Week 0

Primary metric is idea-to-production cycle time on the targeted stages, anchored on DX Core 4. If cycle time didn't move, the engagement didn't work, and the weekly reporting says so.

Tool adoption alone won't do it

Multi-agent tooling delivers real code velocity gains, and whole-lifecycle throughput stays flat for most buyers anyway. The operating model around the tools is the thing that hasn't changed, and it's the harder problem.

Full-lifecycle scope needs both owners

Engineering-only engagements stall at the engineering boundary. Full PDLC scope requires the CTO and the CPO together — if only one is sponsoring, we'll scope to the engineering wedge and say why.

*These are typical time estimates and actual times may differ based on project complexity and scope.
COMPREHENSIVE SOLUTIONS

Explore FullStack's AI PDLC services.

Gartner projects that by 2028, 75% of enterprise engineers will use AI assistants daily, and that the advantage goes to companies that integrate AI structurally into the delivery operating model. Tool adoption is done. Operating model change is the open market.
  • Idea-to-production lifecycle tracing
  • Six-dimension agentic maturity scoring
  • DX Core 4 instrumentation and baselining
  • Hypr agentic framework deployment
  • Lifecycle stage friction ranking
  • Spec, design handoff, QA, and release rebuilds
  • Cross-functional in-flow training and certification
  • Operating model documentation and playbooks
  • Weekly measurement against the Week 0 baseline

Partner with FullStack and and ship work software faster.

Enterprise Partnerships

Business-unit or product-org entry

Above $5B in revenue, we enter at the business unit or product org level — the same delivery motion, scoped to a real mandate rather than sold as a company-wide platform rebuild.
Mid-Market and PE Portfolio

One maturity model across a portfolio

For operating partners who want portfolio-wide productivity and dislike anecdotes, Diagnose runs as a screening product: the same model across 5–10 companies, comparable scores, a roadmap each.
our blog

Featured articles

How AI is Transforming Legacy Modernization

Discover how AI-powered legacy application modernization cuts costs, reduces risk, and brings outdated systems into modern, scalable environments.
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2025 Legacy Modernization Price Guide

See what companies can expect to pay for legacy modernization in 2025, and discover how AI-assisted modernization is changing the game.
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AI in Product Design: How to Build and Scale AI-Enabled Design Teams

AI is reshaping design teams. From integrating AI tools to structuring cross-functional teams, see how companies adapt design for an AI-driven future.
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