Developers Who Join Your Team, Not a Team Alongside It
Ongoing, part-time or full-time, dual-vetted on AI-tool fluency and engineering judgement, and matched to fit how your team actually works — including the parts of your process that are not the same as everyone else's.
Your Team Does Not Use AI Tools the Way We Vet For
Every team's relationship with AI coding tools is different. Some review AI-generated code as hard as anything else. Some barely review it at all. Some have banned certain tools outright over IP or security concerns. A developer we place has to work inside whatever that reality already is, not import their own habits and hope they fit.
That is why fit with your existing process, not just technical skill, is part of what we check for before a match goes out.
Aligning on AI-Assisted Review Within Days
This does not need a policy document before anyone can start working together.
Day one: current state
Which AI tools your team already uses, and what your existing review habits look like — light-touch, strict, or somewhere in between.
Early days: what gets extra scrutiny
Agreeing which categories of change — auth, payments, data access — get a closer look regardless of whether AI was involved in writing them.
Early days: what is off-limits
Any tools or use cases your team has already ruled out, respected without argument, and revisited only if you choose to.
Ongoing: revisit as you learn
Norms that get adjusted as the team sees what actually needs the extra care, not fixed in place after one conversation.
Part-Time or Full-Time
Both are common. The right choice depends on the shape of the work, not a default preference either way.
Part-time
Fits a defined, bounded slice of ongoing work — a specific feature area, a recurring maintenance load, a QA pass on releases. Less context to hold, easier to fit around other commitments on both sides.
Full-time
Fits someone who needs to hold broader context across the codebase and be available at the same pace as the rest of the team. The better choice once the scope of ongoing work stops being a small, bounded slice.
Many engagements start part-time and move to full-time once the shape of the work is clearer. Going the other direction — scaling down as a project stabilises — is just as normal.
Ramping Up, and Ramping Down
Neither end of an engagement should be a surprise.
Ramping up: access, then a walkthrough
Repository and environment access first, then a codebase walkthrough from your side before the developer is expected to be at full pace. A short onboarding period is normal and expected, not a delay.
Steady state: agreed cadence
Standups, async updates, whatever fits your team's existing rhythm — the developer joins your process rather than running a separate one alongside it.
Ramping down: notice and handover
Ending or reducing the engagement follows an agreed notice period with a handover of open work and undocumented context, so nothing just disappears when the engagement ends.
When You Can Reach Us, and Them
Predictable hours matter more for an ongoing engagement than a one-off project.
Core hours
Monday to Friday, 10:00–19:00 IST, is the baseline window we plan overlap and communication cadence around for every augmentation engagement.
Time zone fit
Overlap against your team's own hours is confirmed as part of the match, before the engagement starts, not discovered in the first week.
Direct contact
You communicate with the developer directly in your own tools and channels — no relay through an account manager for day-to-day work.
Questions About Team Augmentation
How does an AI-fluent developer integrate with a team that works differently?
By adapting to your norms, not replacing them. If your team reviews AI-generated code lightly, or not at all, or bans certain tools outright, the developer works within that — and can suggest changes, but does not unilaterally import their own habits into your codebase. Fit with your existing process is part of what we check for in the match.
How quickly can we agree shared norms for AI-assisted code review?
Within days, not months, because it does not require a formal policy document first. A short conversation in the first week — which AI tools are in use, what gets extra scrutiny, what is off-limits — is usually enough to align, and it gets revisited as the team learns what actually needs the extra care.
Part-time or full-time — how do we decide?
Part-time suits a defined, bounded slice of ongoing work — a specific feature area, a recurring maintenance load. Full-time suits someone who needs to hold broader context and be available at the same pace as the rest of the team. Many engagements start part-time and move to full-time once the scope of the work is clearer.
How does ramping up and down work?
Ramping up starts with access, a codebase walkthrough and a short onboarding period before the developer is expected to be at full pace. Ramping down or ending the engagement follows an agreed notice period with a handover, so context does not just disappear when the engagement ends.
What are normal working hours and response times?
Our team operates Monday to Friday, 10:00–19:00 IST, and that is the baseline overlap window we plan communication cadence around. Specific developer availability against your team's time zone is confirmed as part of the match, before the engagement starts.
Can we interview and choose the specific developer who joins our team?
Yes. We send a shortlist of matched, dual-vetted profiles and you run your own interview process. The developer who joins your team is the one you chose, not one assigned to you.
Ready to Add Capacity to Your Team?
Tell us your stack, your review norms and your timeline. We send matched, dual-vetted profiles within days.