Managed lane Agentic Engineering Lane
A full-time AI engineer on your product.
One persistent AI agent works your backlog every working day, as a full-time engineer would: features with running previews, bug fixes with regression tests, pull-request review and CI kept green, many times a day. Describe the result. Inspect a running preview. Accept it or tell us what needs to change.
38% less than a median US hire. A software developer costs about $16,200/month once benefits and employer costs are counted (US median pay $11,300); this lane is $10,000, set up the day after you enquire. How we worked it out
- Price
- $10,000/monthPrice confirmed in a written proposal
- You pay
- Payment, billing, cancellation, renewal and treatment of incomplete work are agreed in the written proposal before the engagement starts.
- Term
- Repeats every month
- Ending it
- Cancellation, renewal and treatment of incomplete work are agreed in the written proposal before starting.
- To start
- An enquiry starts a conversation, not a contract, payment or reserved place.
- How soon
- We set up the day after you enquire and are moving within three days.
What the price covers
One product.
A continuing delivery relationship.
One persistent AI agent doing the whole engineering job on your product, every working day.
- No limit on how many items it finishes: often several a day.
- Features, fixes, reviews, CI, upgrades, tests and docs.
- Model usage, setup, guardrails, a permanent knowledge base, configuration and chat are all in the price.
- Preview, relevant checks, separate review and acceptance evidence for each item.
Final scope, start date, price, applicable taxes and payment terms are confirmed in a written proposal. No charge or reservation is made on this site.
No human supervisor is included unless your proposal names one.
What an AI agent adds.
Agentic engineering means an AI agent does the implementation while a person owns what is accepted and shipped. This is what that gives you, and what published research does and does not say.
- Faster iteration
The agent works your queue every working day, many times a day, and shows each feature in a running preview before you accept it. In a 2024 experiment at Google, 96 engineers given AI features finished a realistic task in about 21% less time on average (one task, a wide margin of error).
- Fixes with a test attached
Each bug fix arrives with a regression test that fails before the fix and passes after it. In a 2024 benchmark, using generated tests as a filter doubled the share of one coding agent's accepted fixes that were correct.
- Stable releases come from strong testing
Google's 2025 DORA research links AI to faster delivery, and on its own to less stable delivery; it says strong automated testing, version control and fast feedback decide which you get. Each result here arrives as a pull request with its checks run, and you merge when you are ready.
- Testing in every change
Every item comes with the relevant checks, a separate review and the evidence you need to accept it, so testing is part of each change, not a phase at the end.
Sources: Google randomised trial (arXiv, 2024); SWT-Bench (arXiv, 2024); DORA 2025 report. They describe other teams' tools and benchmark tasks; what you get depends on your product.
The backlog is there. The delivery capacity isn’t.
You know what your customers need, but features wait behind fixes and maintenance. You want an engineer who takes each change from request to a result you can try, every day, without you managing individual coding sessions. This is that engineer, as a persistent agent that remembers your product.
Who it is for
This lane is for an existing web product with a repeatable way to run it, a decision-maker who can prioritise, and permission to use its code. You do not need to operate GitHub or direct our agents.
When to start somewhere else
For one isolated repair, start with a defined outcome. For several products or a whole engineering department, ask about a whole function.
You receive the change, and a way to judge it.
A pull request may be part of the engineering handover. It is not the whole product.
A clear acceptance brief.
The behaviour that should change, the important edge cases and the checks that will count as done. Large requests are split before we commit.
A working preview and walkthrough.
For UI work, try the relevant flow in an agreed non-production environment. For backend work, inspect a runnable example and its results. We explain what changed in plain English.
Evidence, not a green badge.
Relevant automated tests, runtime checks, screenshots where useful, review findings and known limitations. Video can be included when useful and agreed.
An explicit accept-or-revise decision.
Corrections needed to meet the agreed acceptance criteria stay within that item. New requirements are re-scoped. Release-ready changes are handed over; a live deployment happens only through an agreed, authorised route.
What the agent takes on, every working day
The agent works the engineering queue every working day. Each result has explicit acceptance criteria and an accept-or-revise decision. It takes the next request as soon as it closes the last; the relationship continues under the agreed renewal terms.
Each of the 11 parts in full, with its price
Add one small web-app feature you can try in a private preview Job Included From $975 on its own
The agent does this whenever it comes up.
Fix one reproducible bug with a failing-then-passing regression test Job Included From $385 on its own
The agent does this whenever it comes up.
Keep your GitHub Actions CI green, month after month Ongoing service Included $255/month on its own
The agent runs this service as part of its work.
A written review for each pull request on one repository, every month Ongoing service Included $255/month on its own
The agent reads every pull request on the product as it opens.
Clear a defined backlog of bugs and small engineering tasks Project Included From $3,250 on its own
The agent takes this on as part of its work.
Keep your app's runtime and dependencies on supported versions, month after month Ongoing service Included $255/month on its own
The agent keeps the runtime and dependencies supported as part of its work.
Keep tests and documentation matching what your code now does, each month Ongoing service Included $255/month on its own
The agent keeps the tests and docs current as the product changes.
Keep your web app's sign-in, forms and integrations working, month after month Ongoing service Included $255/month on its own
The agent keeps the critical flows working as part of its work.
Pin one module's current behaviour with a regression test suite Job Included $775 on its own
The agent builds regression suites whenever a module needs one.
A README and setup guide proven by a cold start on a clean machine Job Included $385 on its own
The agent writes the docs a new developer needs.
Make a flaky test suite reliable enough that a red build means something Project Included From $3,100 on its own
The agent takes on a whole flaky test suite when it comes up.
Against a hire.
A hire costs more than their pay. Benefits and employer taxes come on top, and are counted below; recruiting, equipment and the time it takes to start are not, so a real hire costs more. This is the lane against the median US software developer, from public figures, as a cost a month.
| Full-time AI agent | Nearest job title | A median US hire: pay, benefits and taxes | The agent | Less by |
|---|---|---|---|---|
| Agentic Engineering Lane | Software developers | about $16,200 | $10,000 | 38% |
Pay is the US median for the nearest job title (BLS OEWS, May 2025, released 15 May 2026). A hire costs more than their pay, so it is divided by 0.70, the share of employer compensation that is pay (BLS, June 2026), which adds benefits and employer taxes. Recruiting, equipment, management time and cover for leave are not counted, so a real hire costs more still. A lane takes on the duties on its own page, which can be narrower or wider than the job title. On your side, an agent's work still needs someone to approve it, which is your time. Lanes with no close government job title are not compared. These are estimates from public figures, not a quote.
How the lane works.
These are the starting terms. They are confirmed against your product before either side commits.
- 1 web product
- 1 persistent agent, full time
- Daily work, several items a day
- Capacity
- One persistent agent on one existing web product, working full time. There is no limit on how many items it finishes: it takes the next as soon as it closes the last, often several a day. Size of the items and how quickly you answer questions set the pace.
- Included
- Everything a full-time engineer on the product does: features with running previews, bug fixes with regression tests, pull-request review, keeping CI green, dependency and framework upgrades, tests, docs and clearing the backlog, each with relevant checks, separate review and corrections against the agreed criteria. A written progress update each week.
- In the price
- Model usage (tokens), the choice of models, setting up the agent system, guardrails, a permanent knowledge base of your product, the persistent agent, its configuration and a chat with it. No usage charges on top.
Show 4 more limits
- Stays with you
- Your own hosting, cloud and third-party tool accounts and their charges. Security certification and regulated or safety-critical systems need accredited people we do not replace.
- Your role
- Set priorities, answer product questions, supply permitted inputs and accept or request corrections. You retain control of accounts and approve any live changes.
- Before starting
- We confirm stack fit, a safe code and data route, a usable test environment, review arrangements, IP/data terms, legal contracting identity and release authority in a written proposal. Billing, cancellation and renewal are agreed there too; no subscription begins from an enquiry.
- If blocked
- We surface the blocker and agree a substitute item, revised timing or a stop. Treatment of incomplete work is agreed before the engagement starts.
How the work is checked.
AI agents perform the engineering and can review one another’s work. A separate review is not automatically a human review, and it is not a guarantee that every defect will be found.
Synthetic Industry is responsible for arranging and verifying fulfilment. We may propose human expertise for a particular job, but no senior human supervisor is already retained or promised by this offer. Any required supervision and its cost must be resolved before accepting the work, not delegated to you as a surprise.
Our process and example page shows an upgrade we made on an open-source application, and the steps every item follows.
Request this outcome
You are asking about: Agentic Engineering Lane.
An enquiry is not an order. We assess fit and agree scope, safe access and terms before any work. Prefer email? hello@syntheticindustry.ai.