Full Stack Delivery

Ship production web apps 2× faster with AI-assisted engineering

DeepSpeed AI pairs senior engineers with guided AI accelerators to design, build, and launch governed full stack platforms across Node, .NET, PHP, and modern JavaScript frameworks.

8–12 weeksTypical launch window

40% fasterFeature delivery velocity

99.9%Uptime targets & SLOs

Plan your build Book a call

Stacks we deliver

Node.js + Angular Monorepos
Node.js + React / Next.js
Laravel / PHP + Vue / Nuxt
.NET 8 + Angular or Blazor
Python + FastAPI with Vue or Quasar

AI enablement baked in

Copilots, automation, and personalization backed by evaluations, safety guardrails, and observability.

Stack-specific playbooks with AI assistance

Pick the stack you run today (or want tomorrow). Each playbook pairs senior engineers with AI copilots, scaffolds, and governance patterns tuned for that ecosystem.

Node.js + Angular Monorepos

Enterprise-grade Angular frontends with NestJS or Express services, CQRS patterns, and CI pipelines tuned for LTS support.

Backend foundations

Node.js LTS
NestJS / Express
TypeORM
Prisma
GraphQL / REST

Frontend experiences

Angular 18+
Nx / monorepo tooling
SSR with Angular Universal
Storybook

AI capabilities

Embedded copilots for operations teams
Prompt-engineered components with guardrails
RLHF-ready telemetry and feedback loops

Delivery accelerators

Nx workspace scaffolds with lint/test automation
Feature flags + rollout governance baked in
Design system integration (Material, Tailwind)

Common integrations

Azure AD / Okta
ServiceNow
Salesforce
Kafka / EventBridge

What makes delivery faster

Prebuilt accelerators keep teams focused on high-value work while AI copilots handle scaffolding, testing, and documentation.

AI-Accelerated Specification Workshops

Prompt-engineering templates and conversation intelligence capture user journeys, acceptance criteria, and edge cases automatically.

Clickable prototypes and user stories within week 1
Risk register and dependency heatmap
Signed-off backlog with engineering estimates

Delivery Pods with Pair+AI Rituals

Senior engineers collaborate with AI copilots for scaffolding, tests, and documentation while maintaining human code review gates.

40% faster pull request turnaround
Automated regression test generation
Live observability dashboards on delivery health

Embedded AI Experience Patterns

Reusable flows for chat, summarization, retrieval, and action automation with safety guidelines and analytics baked in.

Library of audited prompt chains and evaluators
UX guidance for responsible AI disclosures
Instrumentation for feedback and guardrail breaches

Delivery in three accountable phases

Every project ships with responsible AI guidelines, governance checkpoints, and measurable outcomes so stakeholders stay confident.

Weeks 0–2

Discovery & Architecture

Co-design the target experience, architecture, and AI touchpoints with security, compliance, and data owners at the table.

Outputs

Experience blueprint & wireflows
System architecture + data contracts
Backlog groomed with complexity scoring

Weeks 3–8

Build & Integrate

Parallel delivery tracks for frontend, backend, and AI services with daily checkpoints and pair+AI mobbing on complex stories.

Outputs

Working vertical slices in staging
Automated tests (unit, API, e2e)
Telemetry, logging, and governance hooks

Weeks 9–12

Hardening & Launch

Security reviews, performance tuning, user acceptance testing, and AI safety validation leading into a controlled production rollout.

Outputs

Load/performance reports + tuning backlog
Go-live runbooks & incident response playbooks
Success metrics dashboard + training assets

Quality, observability, and security from day one

We blend automation with human oversight so AI-assisted engineering meets enterprise reliability requirements.

Quality Automation

Every commit flows through multi-layered automated testing and AI-generated regression suites reviewed by humans.

Contract, unit, and component coverage 80%+
Playwright e2e scenarios with synthetic data
AI-suggested test generation with human approval

Observability & Reliability

Instrumentation shipped on day one with SLO monitoring, tracing, and AI drift detection wired into your existing stack.

OpenTelemetry + distributed tracing out of the box
Synthetic monitoring & chaos drills pre-launch
AI safety events piped into SIEM/SOC workflow

Security & Compliance

Secure-by-default development with secrets management, dependency scanning, and policy enforcement across environments.

Static & dynamic scanning (SAST/DAST) per pipeline
Secrets rotation + vault integration
Policy-as-code gating deployments

Governance and handoff you can trust

Legal, compliance, and security teams stay looped in with recurring checkpoints and transparent documentation.

AI Safety Reviews

Prompt audits, bias testing, and evaluation harnesses using red/blue team scripts to validate AI behaviors before go-live.

Data Privacy Guardrails

PII detection, field-level encryption, masking, and retention policies aligned with GDPR/CCPA and sector-specific obligations.

Change Management & Training

Leadership enablement, live training, and adoption playbooks to drive usage across business units post-launch.

Enablement & Handoff

Documentation, pairing sessions, and playbooks so your team can own the roadmap while DeepSpeed AI remains on standby.

Success metrics baked into every engagement

Targets are defined at kickoff and tracked through launch with transparent dashboards and weekly reviews.

Lead-to-launch cycle time

35–55% reduction

Accelerated delivery cadence through AI-assisted development rituals and prebuilt accelerators.

Operational cost per feature

25–40% reduction

Automation across QA, documentation, and deployment pipelines reduces toil while maintaining enterprise quality.

User adoption & satisfaction

+20 pts NPS / CSAT

Built-in telemetry, UX testing loops, and AI-assisted personalization increase end-user engagement after launch.

Recent launches

Fortune 500 Shared ServicesFinancial Services

Re-platformed legacy workflow portal with Node + Angular monorepo, Azure OpenAI copilots, and ServiceNow integration.

Delivered MVP in 11 weeks with 37% workflow cycle reduction
Integrated prompt governance + audit logging for legal review
Scaled to 12k monthly active users with 99.98% uptime

Healthcare SaaS InnovatorHealthcare Technology

Built HIPAA-ready React + FastAPI platform embedding AI summarization, lab triage automations, and clinician copilots.

Completed security audits with zero critical findings
Reduced manual chart review time by 42%
Adoption playbook enabled 800 clinicians in first quarter

Ready to plan your full stack roadmap?

Bring your backlog or idea. We will scope the build, map AI opportunities, and align security and compliance leaders.

Get in touch

Frequently asked questions

Still curious about how AI-assisted delivery works in your environment? Start here.

Can we plug into our preferred CI/CD and cloud platforms?

Yes. Engagements adapt to Azure DevOps, GitHub, GitLab, or Bitbucket pipelines. Infrastructure as code templates are provided for AWS, Azure, or GCP and align to your existing security patterns.

What happens after launch?

We deliver enablement sessions, documentation, and backlog handoff so your team can run independently. Many clients retain DeepSpeed AI for co-managed roadmaps or AI safety monitoring.