We help your engineers build bold and scale smart — fast, secure, and friction-free across the full software lifecycle, from onboarding to operating in production. Improved flow, reduced churn, and delivery you can measure.
Developer experience (DevEx) is the discipline of removing friction from how software gets built, shipped, and run. The research distils it to three dimensions — and our practice is built to move all three.
The speed and quality of responses to a developer's actions — build, test, review, deploy. Fast loops keep work flowing; slow ones force waiting and context-switching.
The mental effort needed to get work done across tools, systems, and code. Automation and golden paths lower it, freeing focus for solving real problems.
Energized, uninterrupted focus. Frequent flow drives higher productivity, innovation, and developer growth — so we design the environment to protect it.
Framework: Noda, Storey, Forsgren & Greiler, “DevEx: What Actually Drives Productivity,” ACM Queue (2023).
We own the developer journey across six stages — a fast inner loop for building, a reliable outer loop for running — with security, automation, and observability woven through every one.
Inner loop · Build fast
Source control, IDE, languages, and golden paths so engineers are productive on day one.
SAST, SCA, libraries, and frameworks — security checks run as developers write code.
Continuous integration, unit and integration tests, and versioning keep main/source code releasable.
Outer loop · Run reliably
Continuous delivery, approval gates, and progressive delivery (blue-green, canary).
On-prem or cloud, containerized platforms (Kubernetes), and self-service infrastructure.
Health checks, SRE & BizOps practice, MTTD / MTTR, and AIOps that keep reliability climbing.
Each pillar expands a part of the lifecycle into concrete capabilities we stand up and run alongside your teams.
We've hands-on delivery experience with the leading platforms at every stage of the lifecycle — then we use AI to tie them into a single, usable golden path.
We've delivered with these partners across every phase — so we recommend and integrate from experience, not slideware.
We layer AI agents over this stack to streamline DevOps usability — one front door instead of a dozen disconnected tools.
An agentic layer over your toolchain: developers work through chat and their IDE, while AI agents handle the busywork across prompts, enterprise data, and the tools you already run.
Drafts user stories from meeting transcripts, speeds up acceptance-criteria creation, and supports grooming and refinement. Virtual BA.
Triggers on each merge request, checks against team coding standards, suggests fixes, and lifts unit-test coverage — callable from the IDE before push. Virtual Developer.
Generates test scripts in your automation framework, creates the required test data, and integrates with Git, issue trackers, and other tools. Virtual QA.
Builds a test strategy per story, surfaces requirement gaps, generates cases in a defined format, removes overlapping tests, and lifts coverage from defect analysis. Virtual QA.
Reads your repositories, builds a dependency graph, and generates technical and user documentation — doubling as an AI code assistant. Virtual Developer.
Ingests enterprise data and answers via chat or email, triages incoming requests, and assists root-cause analysis — helping drive MTTD and MTTR down. Virtual Support / Ops.
We baseline the four DORA metrics on day one, then move them — backed by the reliability signals that flag trouble before customers do.
How often you ship to production.
Commit to running in production.
Share of deploys that cause failure.
How fast you recover from failure.
Source: Google Cloud DORA, Accelerate State of DevOps (2024). Elite-tier reference points; clusters shift year to year.
Most teams sit at level 1 or 2. Our engagements move you up the curve — and the DORA metrics move with you.
Release-cadence reference points based on Google Cloud DORA performance clusters (2024).
Developer experience is now an AI and security story. We put AI across the inner loop and operations, and make the golden path the secure path — across the holistic product lifecycle (PLDC).
AI code review and documentation, AI pair-programming, and GenAI in the IDE speed up how developers write, review, and ship.
Faster detection and resolution: Datadog and resolve.ai drive down MTTD, while ServiceNow Now Assist drives down MTTR.
Security lives in the golden path — secrets management, SBOMs, and scanning wired into the pipeline so secure is the easy way to ship.
Paved-road controls that speed teams up — policy-as-code and secure templates that prevent issues without slowing delivery.
Representative reference architectures from the NovasIQ developer-experience practice — across the inner loop, the golden path, operations, and security.
These are representative reference architectures and engagement patterns from the NovasIQ developer-experience practice. Approaches reflect standard, proven engineering practice and are described qualitatively; quantitative figures elsewhere on this page are drawn from cited public research.
A four-step engagement that spans all four NovasIQ pillars: consulting, AI & digital, systems design, and managed services.
DevEx audit, DORA baseline, value-stream mapping, and friction interviews to find what is slowing teams down.
Assess · ConsultingTarget toolchain, reference architectures, security gates, and a prioritised roadmap your teams help shape.
Design · AI & DigitalWe build the platform, pipelines, and guardrails — then migrate teams onto the golden path without big-bang rewrites.
Build · Systems DesignEmbedded SREs and platform engineers, enablement, and 24/7 managed operations that keep moving the metrics.
Run · Managed ServicesWe operate as an extension of your team — not a vendor at arm's length. Every engagement is built around your outcomes.
All four pillars under one engagement. No vendor-coordination overhead between strategy, build, and run.
Mid-market firms work in 6–12 month cycles. We deliver in weeks — first conversation to a measurable pilot.
Built ground-up for scale and AIOps — not retrofitted onto legacy service lines.
You stay in the driver's seat. We bring the expertise and execution to move your metrics.
We move from first conversation to a measurable DevEx pilot in weeks, not quarters. Bring us your hardest delivery problem.