Build
We write new services, APIs, ETL jobs and web apps test-first in your repository and deliver them as changes you can review.
Our harness is a set of specialised AI agents with tests, security gates and access limits built in, run by a tech lead. We connect it to your repositories and cloud, then write code, fix what breaks, check security and audit your IT through it.
Shipping software takes developers, DevOps, QA and security engineers. A small company rarely has all four, and recruiting and onboarding them takes time you may not have. An agency usually sends you people. We connect a harness that already holds those roles, with their tools, checks and limits set up, inside your repositories and cloud. You deal with one partner and get the output of a full engineering team.
| Aspect | Hire a team | Connect our harness |
|---|---|---|
| Who does the work | You recruit and manage developers, DevOps, QA and security engineers. | One tech lead runs the same roles plus research. |
| Time to start | Job posts, interviews, onboarding. | A short scoping call, then we connect. |
| What you pay for | Salaries, recruiting and idle time between tasks. | The work you ask for, for as long as you need it. |
| Quality control | Depends on who you hired. | Tests, security scans and review run on every change. |
| Commitment | Permanent headcount. | One project, a monthly retainer or a one-off audit. |
Businesses put three things first: shipping on time, staying up and staying secure. Connect the harness and you pay for those results without paying for a team built around them.
We write new services, APIs, ETL jobs and web apps test-first in your repository and deliver them as changes you can review.
Someone built your cloud by hand and nobody can rebuild it, or an integration fails and nobody notices. We trace the cause through the harness and repair it in code.
We scan your code, images, hosts and clusters and review your dependencies. Then we cut access down to what people need.
You get a written review of your infrastructure, security or code, with fixes ranked by risk and evidence you can show an ISO 27001 auditor.
We run Terraform, Kubernetes and CI/CD on AWS or Azure, and set up alerts so your team hears about an outage before your customers do.
Support answering the same questions all day? We build an LLM assistant that answers from your documentation and passes the hard cases to a person.
A tech lead owns the architecture, the scope and the final call on each change. Five agents with narrow roles do the work. We set up the roles, their tools and their limits before we connect to your system, so day one goes on your problem and none of it on setup.
| Role | Mandate | Tools | Limits |
|---|---|---|---|
| Tech lead | Sets the scope, reviews the result and decides what reaches production. | directs all five agents | final approval |
| Developer | Writes application code test-first and checks each library against its current official documentation. | pytest, Vitest, Hypothesis, Ruff, Context7, Dependabot | application code only |
| DevOps | Changes infrastructure through code only. Each change carries a reviewed plan and a rollback path. DevOps signs each container image and attaches its bill of materials. | Terraform, TFLint, Checkov, GitHub Actions, Hadolint, ShellCheck, Trivy, Syft, Grype, Cosign | infrastructure code, production only with approval |
| QA | Writes acceptance tests before the code exists and runs mutation testing on changed logic to find tests that pass for the wrong reason before you release. | pytest, Playwright, mutmut, Hypothesis | test files only |
| SecOps | Reviews changes against OWASP ASVS and the OWASP Top 10, models threats before sensitive work starts and scans code, images, hosts and clusters. | Semgrep, CodeQL, Trivy, Grype, OSV-Scanner, Checkov, kube-bench, Kubescape, Lynis, Docker Bench | read-only |
| Research | Tracks new vulnerabilities in public advisories and CVE feeds, and compares vendors and tools before we pick one. | public advisories, CVE feeds | open sources only, no access to your systems |
You grant the harness the access the job needs. Each agent gets only its share of it.
The tech lead signs off before anything reaches your production.
We log each agent run and each change, and you can read the log.
We plan the way back before we deploy.
You tell us the problem. We agree what the harness may read and what it may change, and you grant that access.
We read your repositories, infrastructure and pipelines through the harness. You get our findings and the checks that will prove the work is done.
Agents build in small steps. Tests, scans and review run on each step, and you receive changes that passed them.
We document what changed and disconnect, or keep the harness attached and run the system with you.
We connect the harness for one job with clear acceptance criteria, such as a migration, a pipeline or a service.
The harness stays connected and we run and improve your infrastructure month to month.
We work with read-only access. You get a review of your infrastructure, security or code and a list of fixes ranked by risk.
Send a few lines about the system and the problem. We reply in Telegram.