The agent layer that plugs into your existing development stack.
Your development process took years to assemble. Most agent vendors ask you to replace it. Hypershell uses OpenShell, an open standard, to deploy open-source coding agents into the repositories, pipelines, and approvals already running in your environment.
Find where agents deliver the most acceleration and ROI across your software development lifecycle.
Set up owned, open-source infrastructure for agents to run safely inside your existing SDLC.
Build agents into the tools and workflows your software teams already use every day.
Verify the promised acceleration and pay only when the agreed outcomes have been achieved.
Companies using OpenShell-secured agents to accelerate product development
Concept
01 / The offering
Agentic product development, without re-engineering everything first.
Enterprises spent the last decade standardising their software delivery: source control, review policy, test stacks, release boards, security gates. That machinery encodes real decisions, and most of it is still correct. The pressure now is to rebuild all of it around agents.
The common answer is to standardise on a vendor's stack and migrate to it. We take the brownfield position instead. Agents are deployed into the delivery system you already operate, governed by the controls you already wrote, and the first measurable result arrives in weeks rather than after a platform migration.
Why now
The economics of writing software changed faster than the processes around it. The published evidence is consistent on the direction, even where it disagrees on the magnitude.
26–55%
Productivity lift from agentic development
METR (2025); GitHub / MIT Copilot productivity study
2–5×
Reduction in the customization tax
McKinsey, State of AI
≈$0
Marginal cost of custom software
McKinsey, State of AI
Where the time goes
Writing code stopped being the expensive part.
Traditional software delivery is slow because building software takes time. Coding agents compress the build step dramatically, but most organizations still rely on people to coordinate reviews, testing, approvals, and releases. The result is a faster build inside a workflow that still spends much of its time waiting.
An agentic SDLC removes the next bottleneck. Agents execute across the existing lifecycle, moving work through repositories, pipelines, tests, and approvals with far less human coordination.
Traditional SDLC · Building is the bottleneck
Manual development. Most cycle time is spent building.
Coding agents · Waiting becomes the bottleneck
Coding gets faster. People, handoffs, and queues now dominate cycle time.
Agentic SDLC · The whole lifecycle compresses
Agents execute across the lifecycle, with humans approving where needed.
Illustrative elapsed time for the same software change as development evolves from manual, to coding-assisted, to agentic.
02 / How we deliver
A platform, a small senior team, and a defined outcome.
Platform
OpenShell runs inside your infrastructure and secures what the agents are allowed to touch. Repositories, build systems, and internal services stay where they are. Nothing is copied into a vendor cloud.
People
One small forward-deployed team works alongside your engineers on your real backlog. Each engagement starts from the skills the previous one produced, so the second project begins further along than the first.
Engagement
We agree the outcome and the measure before the work is scoped: cycle time on a named service, coverage on a named test suite, or throughput on a named queue. The result is verifiable by your own telemetry.
Do not rebuild your delivery stack around someone else's platform.
The risk is not vendor lock-in. It is context lock-in.
Closed platforms are easy to start with and hard to leave. Not because the model is impossible to replace, but because the useful context gets trapped: which systems the agent may reach, which conventions your codebase follows, which review corrections your team made, and which logic was encoded over time.
Hypershell builds that layer on open components, inside your environment, so the delivery system can keep evolving without another migration.
Standardise on a vendor stack
- Standardise on the vendor's delivery stack
- Model controlled by vendor
- Context lives in the vendor product
- Skills locked to the platform
- Infrastructure is vendor cloud
- Switching means starting over
Hypershell on OpenShell
- Agents deployed into the stack you already run
- Model-agnostic orchestration
- Context layer is yours
- Skills live as portable code
- Runs in your environment
- Take context, skills, and code with you
OpenShell makes fast iteration on building and inserting agents into the SDLC possible because it cleanly separates the concerns of the three parties that otherwise slow the process down.
Building and inserting agents into an SDLC is usually slow because the parties involved stall each other. OpenShell separates their concerns: IT and Security define the operational envelope, engineering platform teams build inside it, and engineers and product managers interact with the agents to write, test, and deploy code.
Step 01
IT and Security
Define the operational envelope of every agent in the SDLC: the tools it may access, LLM routing policy, budgets, and credential management.
Step 02
Platform teams
Use the specified envelopes to build and insert agents into the SDLC quickly, without renegotiating access per project.
Step 03
Engineers and PMs
Interact with the agents to write, test, and deploy code — moving work through the lifecycle without coordination overhead.
Accelerating data access and dashboard development at Helium Mobile
An agent built on their existing Trino warehouse that turned a days-long dashboard-ticket backlog into governed, natural-language analytics self-service.
Helium Mobile had a lean data team and a queue in front of it: every business question became a dashboard ticket, and delivery waited on people rather than on code. Hypershell deployed agents into their own environment, connected directly to their Trino data warehouse, and encoded the business definitions as a semantic context layer the data team owns. The first phase shipped in under two months, with no change of platform.
"Hypershell gave our agents safe, governed access to the data warehouse. Employees stopped waiting days for answers."
drop in dashboard data-ops workload
from kickoff to handoff to the Helium Mobile team
semantic context layer, governed by the data team
Dashboard-request bottleneck
- Days-long backlog of dashboard requests
- Data ops translates every business question into SQL
- Superset charts built one ticket at a time
AI-powered data self-service
- Employees ask Claude questions in plain English
- Claude generates SQL on Trino with approved business context
- Useful queries become repeatable Superset charts
- Data team owns the semantic context layer
Team
A small team of builders who’ve started technology companies and operated inside large enterprises — fluent in both startup speed and enterprise complexity.
CEO
CTO
AI Solutions Lead