Need features shipped without standing up an internal Dark Factory first? EasySpecs runs the factory for you — spec-driven, agent-assisted delivery with compound loops and verification gates. You receive merged, reviewable code and repo-native artifacts, not slide decks.
We deliver software on your stack using Dark Factory and compound engineering as the delivery method — not as a classroom exercise.
Production-oriented features or modules scoped to your repository and merge policy
Harness, skills, and verification gates checked in next to the code you already ship
Evidence packs and handover notes so your team can extend what we built
Rationale
Why a dark factory — and why now
Dark Factory Development is not “faster outsourcing.” It is a repeatable delivery system — spec, agents, gates, human direction — that only became viable once AI could reason, self-verify, and scale in parallel. One-off custom scripts cannot match that once work repeats.
Before 2024, automating software delivery meant brittle scripts, hand-coded edge cases, and a human reviewer on every change. Three barriers blocked a true dark factory.
The judgment problem
Before: Only humans could weigh context, trade-offs, and edge cases — automation could not make judgment calls on unfamiliar code.
Now: Models read specs and reason about unfamiliar repositories, constraints, and novel situations — not just complete the next line.
The verification problem
Before: Scripts succeeded on the happy path (~85%) and failed silently on edge cases; human review was the bottleneck (days per PR).
Now: Agents run your test suite, interpret failures, and retry with a different approach — tests become the deterministic reviewer.
The reusability problem
Before: A general factory cost more to build than writing one script per task — so teams never escaped one-off automation.
Now: Infrastructure is shared; each new task is a new spec on the same factory — days, not weeks, per task type.
What changed (four shifts)
From scripting to reasoning — agents adapt to context instead of blindly following steps
From one-time scripts to reusable infrastructure — new work reuses the factory, not a rewrite
From human review of every line to deterministic gates — lint, test, and policy checks at scale
From sequential work to parallel execution — many agents on the same codebase simultaneously
Custom scripts win on the first narrow task. A dark factory wins when work repeats, edge cases matter, and your stack keeps moving — exactly where delivery engagements live.
Input
Script: Fixed instructions for one scenario
Factory: Specification — what needs to happen, not how to script it
Execution
Script: Follow steps blindly; break on variation
Factory: Reason about context and adapt per service or module
Errors
Script: Fail and stop; humans patch the script
Factory: Run tests, interpret failure, retry — escalate when gates fail
Reuse
Script: New task → new script, new maintenance burden
Factory: New task → new spec on existing harness and gates
When conventions change
Script: Breaks; often rewritten from scratch
Factory: Adapts as specs and gates evolve with your repo
Edge cases
Script: ~40% need manual fixes after the script runs
Factory: 85%+ handled via feedback loops before human review
Breakeven typically after 3–5 repeated task types — custom code pays the same cost every time
Fleet task example: upgrading a library across 50 microservices — manual takes months; custom scripts take weeks of fixes; a factory targets days with humans reviewing outcomes, not every diff
Happy-path reliability rises from ~95% (script) to ~98% (spec-driven gates); the bigger gap is edge cases and maintainability
Custom code optimizes for one task. A dark factory optimizes for a category of tasks — which is why EasySpecs runs the factory for you instead of shipping another brittle script.
Process
How it works
Discovery confirms boundaries, access, and definition of done. We stand up or extend the factory on your toolchain, then iterate in short delivery cycles with explicit review and merge gates until handover.
Patterns
Examples of dark factories
Dark Factory Development can target one or more factory patterns depending on your scope. Each pattern runs the same loop — specification, agent execution, automated gates, human direction on exceptions — applied to a different class of work.
How the dark factory loop works
1. Specification — e.g. “Upgrade this library, preserve backward compatibility”
2. Agent planning — which services use this library? What APIs changed?
3. Code generation — agents write changes for each service or module
6. Feedback — if tests fail, agents retry and learn from failure
7. Approval — passes all gates → ready for human review or auto-merge (risk-dependent)
8. Deployment — humans review once (not once per change) or auto-deploy when configured
Choose a pattern
Quality Factory
Run linting, testing, and security checks automatically — developers focus on design decisions.
Developers write code; the factory validates every change against your spec. Linting, testing, and security checks run automatically — code review becomes “does this match the spec?”
Best for
High-velocity teams with strong test coverage (>80%) who want faster review without automating implementation yet.
“Our code review takes 30% of engineering time. We want to automate the trivial checks.”
Example tasks
Validate all pull requests against spec
Auto-fail PRs that violate naming conventions
Flag PRs that break backward compatibility
Generate test coverage reports from spec
Getting started
1.Audit code review time
2.Identify validation rules
3.Build spec templates
4.Pilot on 2 task types
5.Measure time saved in code review
These patterns are illustrative. We confirm which factory shape fits your engagement on a strategy call — scope, stack, and compliance drive the plan.
Note
Not training
This is done-for-you development. If you need your team to learn the factory inside your delivery loop, see Embedded Implementation (training) instead.
