Cross-functional
Eng + design + AI + PM in a single 4-6 person pod.
in days, not months
Senior engineering squads embedded with your team. Spec to PR in hours. Daily releases by week two. AI-pair workflows, eval-gated CI, and the muscle memory we've built across 50+ enterprise engagements - now plugged into your codebase.
Your engineering team is already great. They're just stuck in a delivery model that wasn't designed for the AI-native era - and you can't hire your way out of it fast enough.
A Lightning Pod plugs into your codebase like the engineers have been there for years - with AI-pair tooling, eval-gated CI/CD, and an operating cadence that turns specs into shipped features in days. They commit to your repo, follow your code review, and earn trust from week one.
Senior engineers, designers, and AI specialists pre-tooled with our AI-pair workflows and platforms.
Eng + design + AI + PM in a single 4-6 person pod.
Codegen, code review, doc gen, and test gen on every workflow.
Every PR passes evals before it can merge - quality is enforced.
Real production releases every day with feature flags and rollback.
Every feature ships with metrics, traces, and feedback loops baked in.
Threat modeling and SAST/DAST scans built into the pod's workflow.
Pods bring a battle-tested design system or extend yours.
Distributed across IST/CET/PT for follow-the-sun shipping.
A predictable onboarding cadence that turns a Lightning Pod into a high-trust extension of your team.
Codebase walkthrough, environment setup, and pod calibration to your stack.
First production PR by end of week one. Daily standups and weekly demos.
Eval-gated CI, AI-pair workflows, and metrics dashboards live by week three.
Daily releases under your team's review. Quarterly business reviews.
Everything decision-makers and engineers ask before kicking off.
Staff aug gives you bodies. A Lightning Pod gives you a calibrated team that's already operating with AI-pair workflows, evals, observability, and a cadence we've proven at 50+ enterprise engagements. You don't have to teach them how to ship; you just plug them in.
Yours. Pods commit to your repository, follow your code review process, and integrate with your CI/CD. We bring our AI-pair tooling and platforms but operate inside your environment.
Three months for a Lightning Pod, with a 30-day notice for adjustments. Most engagements run 6-18 months with the same core squad.
We measure cycle time from spec to production for matched scopes - typically a feature traditional dev shops would estimate at 8-12 weeks lands in 1-2 weeks with a Lightning Pod. The median multiplier across our engagements is 40-60×; we say 100× because top-quartile customers consistently see it.
Always. The best results come when our pod operates alongside your team - your engineers retain ownership and architectural authority while we accelerate delivery and bring AI-native muscle memory.
We swap within 5 business days, no questions asked.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
An honest view of what your team has already vibe-coded and what it needs to survive production.
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
Reserve a 60-minute working session with a senior AI engineer and practice lead.
Tell us your roadmap. We'll match a pod within 7 days and ship our first PR by week one.