Your existing engineering environment.
Repositories, coding CLIs, providers, deployment tools, people, product knowledge, architecture decisions, and release authority remain yours.
The case for controlled delivery
You should be building your product—not building and babysitting an AI delivery system.
Coding agents can generate more work than your team can safely supervise. Buildfactory gives you the working machinery around that work: requirement repair, specification, test obligations, bounded workers, independent challenge, evidence, recovery, and acceptance.
The decision
Do you want your development team to build your product—or spend time, effort, and resources creating the AI delivery system needed to build it?
Every serious AI-assisted engineering team eventually needs workers, model routes, tests, review, evidence, recovery, sandboxes, state, authority boundaries, and a way to decide what has actually been completed. Those are not optional when generated work becomes part of a real delivery process. They become an internal platform project.
A controlled delivery layer.
Buildfactory coordinates the AI step around your stack: it defines work, requires proof, routes failures, and retains the evidence needed to make a decision.
Automation without accountability.
It does not replace engineering judgment, silently make a PoC production-ready, or convert a plausible completion narrative into proof.
What happens when you adopt coding agents
The work shifts from generating code to governing everything around it.
Speed helps only when you can tell what was asked, what changed, what was proved, and what still needs your decision.
Your requirements are usually incomplete.
A PRD can sound clear until a worker tries to turn it into behaviour, interfaces, tests, and evidence. Missing decisions become silent assumptions, late rework, or scope drift.
Your passing test can still prove almost nothing.
Generated tests can be narrow, mocked, disconnected from the requested behaviour, or written after the implementation to agree with it. Test building needs its own obligation and review.
Your worker cannot approve its own result.
Producer, contract verifier, and truth-seeking inquisitor have different jobs. Conflating them makes a plausible answer too easy to accept.
Your retries become expensive supervision.
When a provider fails, a prompt is malformed, or repair stops improving the result, you need to identify the cause, choose a route, or stop the work.
You become the human control plane.
Without a working process, senior developers spend their time re-prompting, checking evidence, reconstructing context, and deciding whether to believe the system.
What Buildfactory actually does
It turns generated output into controlled delivery work.
Generation is one station. The value is the line around it: a sequence of named obligations, evidence, checks, challenges, and repair routes.
01PRDFind and repair missing decisions.
02SPECDefine the contract and proof required.
03TESTEstablish the missing-behaviour baseline.
04CODEImplement the owned change.
05DISCOVERFind gaps the visible pass did not reveal.
06ALIGNCheck against intent and current evidence.
07ACCEPTRepair, stop, or make the human decision.
Profiles decide how much of this line runs.A PoC can prove the requested behaviour without pretending to provide SaaS security. A higher-consequence profile adds the appropriate workers, gates, environments, and evidence—explicitly.
The technical case
Reliable AI-assisted delivery is a process-engineering problem.
Models produce plausible output. Engineering decides whether that output is specified, tested, integrated, evidenced, and acceptable for the work at hand.
Spend inference on judgment, not known facts.
Artifact structure, identity, repository state, required files, scope, and many gates can be checked mechanically before a model is asked to reason about them.
Verify the contract; investigate beyond it.
Review measures a result against defined obligations. Inquisition searches for weak proof, false confidence, hidden gaps, missing integration, and unsafe assumptions.
Put risky work in the right environment.
Worktrees, Docker, Proxmox, controlled scripts, and authority boundaries reduce cross-contamination and preserve an accountable run history.
Return failure to its actual cause.
A weak requirement, a bad test, a provider fault, stale evidence, and an implementation defect do not have the same fix. The system routes them differently.
The business case
Buy the starting point. Keep ownership of the decisions that matter.
The economic argument is not a fabricated ROI percentage. It is the avoided platform backlog and supervision burden of discovering every worker, gate, recovery route, and integration while also trying to ship your product.
Buildfactory gives you working machinery, then lets you retain the tools, processes, provider choices, human authority, and source-rights level that match your environment.
What you can inspectWorkers, scripts, rules, profiles, gates, artifacts, recovery paths, integrations, and operational history.
What you can configureBuild Profiles, Model Profiles, providers, coding CLIs, repositories, sandboxes, environments, and delivery boundaries.
What stays humanIntent, trade-offs, acceptance, release authority, and decisions where the evidence does not settle the question.
What an evaluation answersWhat already fits, what needs integration or adaptation, and what should not be claimed yet.
A working base, not a theory
Start the conversation →Inspect it against one real delivery line.
Bring a representative repository, product slice, or delivery problem. Use your own engineers or agents to challenge the machinery and decide whether it is the right starting point for your team.