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Senior capacity, minus the hiring cycle

Engineers who read the codebase before forming opinions, follow your review process, and are still shipping 18 months later. That last part happens to be our longest engagement to date.

  • Your repos, your CI, your process
  • AI specialization on tap
  • Start with one engineer

when teams and studios bring us in

The Gaps We Fill

Roadmap bigger than headcount

The quarter is planned, the requisitions aren't approved, and hiring takes months either way. Contract capacity closes the gap without a headcount fight.

The module nobody owns

Every codebase has one. A client's key-recognition module sat at 40% accuracy until we took it over and roughly doubled it; that kind of rescue is welcome work here.

A codebase in mid-flight

We join existing projects without demanding a rewrite. Reading someone else's architecture and working within it is a skill we've had plenty of practice at.

An AI feature, no AI experience

Your team, or another studio, owns the product; we come in as the AI module's team for the agent, RAG or evaluation work, then hand over something your engineers can maintain.

the arrangement

What Working With Us Looks Like

  • Your repositories, your branching model, your code review: we adapt to you
  • One client kept us in their repos for 18 months, across five releases: auditable work, not a black box
  • AI work included: we can own the whole AI module (agents, RAG pipelines, evaluation), not just glue code
  • European and Australian timezone overlap for standups and demos
  • Start with a single engineer or a bounded module, and scale only if the work earns it
  • Documentation as a habit; nothing lives only in someone's head
  • Embedded work is an agreed rate, capacity and review cadence — not a fixed product quote

inside other teams' code

Engagements That Lasted

18 months · NDA

Five releases of a consumer platform

Full-stack feature work on a European household platform: calendar sync across four providers, subscription billing and offline resilience, across releases 1.10 through 1.14, shipped in four languages.

Read the case

Rescue work

40% → ~80% accuracy

A property-tech client's key-recognition AI misidentified more than half of scans. New feature extractors, a rotation-augmentation pipeline and a recalibrated threshold roughly doubled accuracy, from 40% to about 80%.

Read the case

AI delivery

From one agent to a full platform

On an Australian HR platform we built the investigation and offboarding agents plus the case workspace around them, an engagement that grew from a single agent into a full platform as the client kept trusting us with more.

Read the case

how we join

Onboarding Without Ceremony

  1. A technical call

    You talk to an engineer, not a salesperson. Bring the messy details; that's what the call is for.

  2. A bounded first slice

    One ticket, one module, one fix. You review the pull request like any other and judge us on it.

  3. Settle the cadence

    Standups, demos, reporting: matched to how your team already runs, in your timezone.

  4. Scale on evidence

    Add capacity if the commits justify it. Wind down without drama when the push is over.

engineering questions

What CTOs Ask Before Starting

Do your engineers work in our tooling?

Yes: your repos, CI, ticket tracker and chat. We've worked through clients' Bitbucket pipelines, Linear boards and self-hosted setups; adapting to the team is part of the job.

How senior are the people actually doing the work?

The named people on our About page are the people in the work. Junior members are listed there too, and their work is reviewed by the senior engineers. There is no hidden bench shipping under someone else's name.

Can you take over a codebase the original developers left behind?

Yes. We start by reading, not rewriting: map what exists, stabilise what's fragile, and only then propose changes. Full rewrites are a last resort, not a default recommendation.

What AI work can you take on?

Agent systems with LangChain and LangGraph, retrieval pipelines over private data, model evaluation, and computer-vision work like the 40%-to-~80% recognition rescue in our portfolio.

What's the minimum engagement?

There isn't a contractual one. A bounded module or a few weeks of one engineer is a normal way to start; long engagements grow from short ones that went well.

Is this a fixed project quote?

Embedded work is an agreed rate, capacity, and review cadence, written down before anyone starts. A bounded module can still be quoted as a fixed piece of work. This is not a product package.

Short on Senior Hands?

Describe the gap: a module, a feature, a quarter of capacity. An engineer reads every message that comes in.

Or email business@prograsec.com. We reply within one business day.