Skip to content

AI audit · agent setup · CI recommendations

You shipped the tools. Nobody rebuilt the workflow.

AI audit and setup for small engineering teams that adopted fast and now pay for it in review queues, red pipelines and code nobody wants to own. Fixed price, fixed time.

Delivered remotely by default. On-site in Czechia when it earns the travel.

NBER, 2026
+240% / +30%

commits versus releases under autonomous coding agents, across 500,000+ developers

Sonar, 2026
96% / 48%

of developers do not fully trust AI-written code, and only 48% always verify it

Qodo, 2026
26%

of developers and of engineering leaders name reviewing AI code as the main bottleneck

CloudBees, 2026
81%

of enterprise leaders report more production issues tied to AI-generated code

We work across Python TypeScript Docker PostgreSQL Anthropic Claude GitHub

01 — The plateau

Some of it failed. Most of it was oversold.

AI arrived positioned as extra engineers. It is a multiplier on the system it lands in, and most systems could not absorb it. The model worked; the workflow around it never changed.

We are not here to argue about whether AI delivers. We are here to look at the part that decides it: how your team reviews, gates and delegates to it.

If three of these are true, you already know

  1. 01

    Review is where the week goes, and the biggest pull requests get the least scrutiny.

  2. 02

    The pipeline became the bottleneck, so validation standards quietly dropped.

  3. 03

    Green CI stopped meaning safe to ship.

  4. 04

    Nobody can say what an agent is allowed to touch.

  5. 05

    Half the team has an agent workflow, half does not, and there is no shared convention.

02 — The audit

We audit the setup around the model.

Four areas, in this order — because the first one caps the rest.

Area 01

The repository as an agent's workspace

Can an agent find what it needs without asking a human?

Area 02

The pipeline as a gate

What is required before merge, and what that check actually proves.

Area 03

Review policy as a contract

What must be read by a human, what is machine-checked, who owns the outcome.

Area 04

Agent scope and definition of done

Credentials, environments, and whether "done" is something a machine can verify.

We work from a structured intake, two interviews — the engineering lead and one working engineer — and as much of the repository and pipeline as you are willing to show. A screen-share read-through under your NDA makes the assessment sharper; interviews and documents alone still work.

What you get

  • A written assessment: findings ranked by effort and expected effect
  • A roadmap for the next four to six weeks
  • A CI gate structure recommended for your stack
  • A conventions set for agent work, ready to adopt
  • One session to walk the team through it, plus a 30-minute readout for whoever signs the budget

Fixed price

CZK 49,000

Two weeks, three sessions, one written assessment. Remote delivery included.

Remote, EU
€1,950
Remote, US
$2,500
On-site, Czechia
+ CZK 8,000 / day

03 — Continuous integration

CI was built for human-speed commits.

Every pipeline you have was sized for a developer who wrote code for four days and pushed once. Agents push constantly, from branches nobody watched being written, and they want the answer fast.

So the queue grows, people start merging around the gate, and the incidents arrive a week later. What we recommend is the gate structure for your stack: what should be required, what can leave the critical path, and where an agent-authored change has to be treated differently from a human one.

  • Feedback in minutes, not after lunch

    The gate an agent waits on is the gate that decides your cycle time.

  • A red build that means something

    When a third of failures are noise, everyone learns to rerun instead of read.

  • Diffs small enough to review

    A size limit is a review policy, not a style preference.

04 — Agent setup

An agent is only as good as the repository it is dropped into.

The tools are already good. What fails is the context they get and the leash they are on — configuration, policy and convention, not a better model.

01

What it can read

Conventions, architecture boundaries, test commands, and the things it must never open.

02

What it may change

Scope per task: which paths, which environments, which credentials.

03

What counts as done

A definition a machine can check, not an opinion at six on a Friday.

04

Where a human signs off

The boundary of production, and who owns the change after it lands.

05 — Workshops

Presentation first. Setup second.

Two two-hour sessions, remote. We present, your team listens and argues with us. Nothing to prepare.

Want to go further? A third two-hour session is hands-on: we set up your agent conventions and a CI skeleton together. You drive, we guide.

Topics

  1. 01

    Coding agents in a real codebase

  2. 02

    CI for teams whose commits arrive three times faster

  3. 03

    Review that survives agent-sized pull requests

Booking

From CZK 29,000

Two sessions, up to fifteen people, remote. €1,150 in the EU, $1,500 in the US.

Workshop + setup session
CZK 39,000
Full day on site
CZK 45,000
Bundle with follow-up
CZK 69,000

06 — How it runs

Two weeks, three sessions, one fixed price.

  1. 01

    Intake call, 45 minutes

    What you use, what broke, what you already tried. If this is not the right fit, we say so here.

    Before anything is booked

  2. 02

    Two weeks on the calendar

    Three sessions of two to three hours, scheduled around your release cycle. Nothing to hand over and nothing to prepare.

    Weeks 1–2

  3. 03

    Written assessment

    Delivered within five working days of the last session, plus a 30-minute readout for whoever signs the budget.

    Plus 5 working days

07 — Fit

Who this is for.

Scope discipline is the whole product. If your problem needs forty people and a programme office, we are the wrong vendor and we will say so on the first call.

For

One team, or one small company

A team of up to ten engineers inside a larger organisation, or a whole startup under thirty people. One product, one pipeline, one budget holder.

  • Agents already in daily use — there is something real to audit
  • A CTO, VP of Engineering or team lead who owns the outcome
  • You want the setup fixed this quarter, not next year
Not for

Three honest exclusions

Nothing here is a moral objection — these are just jobs we would do badly, and pretending otherwise wastes your budget.

  • Teams that have not adopted agents yet — there is nothing to audit
  • Anyone who wants us to write the code
  • Company-wide programmes, procurement and compliance

08 — Questions

Before you email us.

Still unsure? Ask directly — the first call costs nothing and we answer awkward questions properly.

Ask a question
Do you need to see our code?

It makes the assessment sharper. We will sign your NDA, or work from interviews and documents if that is easier for you.

We already use Cursor, Copilot or Claude Code.

Good. This is about the system around the tool — which is where the gap between 240% more commits and 30% more releases comes from.

Can you just tell us what to do?

That is the entire product. We do not implement — no commits, no pull requests, no credentials. Your team keeps ownership of the codebase.

We are eight engineers. Is this overkill?

The bottleneck shows up earlier in small teams, not later — there are fewer people to absorb the review load. The sessions are the same; the written assessment is shorter.

What does it cost?

Fixed: CZK 49,000 for the review, workshops from CZK 29,000. Remote delivery is included, and on-site is quoted with travel. We are not VAT registered, so the invoice shows the full amount with nothing added.

Can we meet in person?

Yes, in Czechia, and you will see the travel line on the quote. Remote is cheaper and usually just as effective.

09 — Contact

Tell us where it hurts.

Which tools, how many engineers, and the one thing that annoys your team most about AI right now. We reply within one business day — usually with either a call slot or an honest "not a fit".

Registered office
Algos Labs s.r.o.
Korunní 2569/108
101 00 Prague, Czech Republic
IČO 301 51 368 · DIČ CZ30151368
Hours
Mon–Fri, 09:00–17:00 CET
What do you need?