Contract-driven execution system

Software delivery
without uncertainty

DevFactory is a controlled execution framework for software projects where every decision is fixed, every stage is approved, and every outcome is reproducible.

It replaces informal development workflows with a deterministic system built around explicit contracts, execution slices, and permanent decision memory.

Fixed scope per slice
Explicit approvals
Decision memory
Pause & resume safe

Why projects lose control

System view
Decisions exist only in chats
→ All decisions are explicitly recorded and versioned
Scope changes silently over time
→ Any semantic change requires a new execution slice
Progress is subjective
→ Stage completion requires formal approval
Context is lost when people change
→ Execution context is reconstructed from data
Core principle
Execution is allowed only where contracts exist.

Project evaluation is not a quote

In DevFactory, evaluation is the entry point into a controlled execution system. Before any development begins, the project must be framed as a contract.

This process establishes scope boundaries, decision ownership, execution slices, and approval rules. Without this step, predictability is impossible.

Contract-first process

Prevents scope drift

All functionality is locked per execution slice. Any change requires a new contractual step.

Fixes responsibility

Every decision has an owner and an approval record. Nothing is implicit.

Creates execution baseline

Progress is measured against an agreed contract, not subjective expectations.

What happens after you submit

  1. 01 Your request is reviewed as a potential execution contract, not a feature list.
  2. 02 Project intent and constraints are clarified and formalized.
  3. 03 An initial execution slice is proposed with fixed boundaries.
  4. 04 Only after approval does execution begin.

This step is designed to reduce risk for both sides and to establish a shared execution reality.

No obligation. No instant quotes.

Most software projects fail for the same reason

Not because of technology. Not because of talent. And not because of budget.

They fail because execution is informal. Decisions are implicit. Progress is subjective. And history exists only in people’s heads.

A familiar scenario

  1. 01 The project starts with enthusiasm and vague agreement.
  2. 02 Decisions are made quickly to maintain momentum.
  3. 03 Months later, nobody remembers why things were done this way.
  4. 04 New people reinterpret old intent and introduce silent changes.

Implicit decisions

Key product and architectural decisions are made informally and never fixed as contractual facts.

Subjective progress

“Almost done” replaces objective stage completion and formal approval.

Context decay

As time passes, original intent is lost and replaced with assumptions.

How projects degrade over time

Initial phase
Fast progress, unclear boundaries, optimism-driven decisions.
Mid execution
Exceptions accumulate, original rules are bent for convenience.
Late execution
System behavior is no longer predictable or explainable.
Maintenance
Fear of change dominates because nobody fully understands the system.

This is not a people problem

Even strong teams fail when execution rules are implicit. Without fixed contracts, decision memory, and formal progression, entropy always wins.

DevFactory exists to eliminate this class of failure entirely.

The solution is execution discipline

DevFactory turns software delivery into a controlled system: explicit contracts, fixed decisions, stage approvals, and immutable execution history.

It is designed for clients who want predictable outcomes, auditability, and the ability to pause and resume without losing meaning or intent.

Contract-first
Execution starts only when the contract exists.
Slice-based
One slice = one capability change, no mixing.
Decision memory
Decisions are stored explicitly and versioned.
Approval gates
Progress requires formal approval, not optimism.
System model

From informal work to deterministic execution

Reproducible
Pr
Project
A single top-level execution container.
Sl
Slice
A contract unit that introduces exactly one capability.
St
Stage
Atomic execution step with artifacts and approval.
Ar
Artifacts
Markdown / JSON / binaries bound to the stage.
Do
Done Summary
The finalized truth of a completed stage.
De
Decision Registry
Explicit decisions and invariants recorded over time.
Key guarantee
The project can be resumed at any time without relying on chat history or personal memory.
Comparison

What changes when execution becomes a system

Scope
Changes informally via conversations and assumptions.
Decisions
Stored in people’s heads, tickets, or scattered messages.
Progress
Measured by activity, not by finalized truth.
Risk
Increases over time as context decays.

Scalable by design

Investor view

DevFactory’s value is structural: it standardizes execution and preserves decision memory. This makes delivery repeatable, auditable, and resilient to team changes.

The same execution model can support internal product teams, agencies, or a SaaS offering where predictability and governance are part of the product.

Governance
Auditability
Reproducibility

A controlled assistant, not an autopilot

DevFactory can use an assistant to keep context consistent, enforce contracts, and help navigate project history. The assistant operates inside explicit rules and never replaces approval or ownership.

The system is designed to prevent “creative drift”: decisions and constraints remain stable unless explicitly changed through a new slice.

What becomes measurable

When execution is formalized, you can measure progress by objective outputs: approved stages, finalized summaries, and versioned decisions.

You are no longer dependent on status updates, interpretations, or “trust me, it is almost done”.

Approved stages
0
Shown as model capacity, not as a project promise.
Execution slices
0
Shown as model capacity, not as a project promise.
Decision memory
0
Decisions and invariants accumulate over time and remain queryable.
Entropy reduced
0 %
Indicative: formal systems reduce drift compared to informal execution.
Scroll reveals the execution model — designed to be readable by humans and parsable by bots.

How DevFactory executes a project

DevFactory is not a set of “best practices”. It is an execution system with explicit data dependencies. Progress is allowed only when the required artifacts exist and approvals are completed.

The workflow below is designed to be predictable for clients and reproducible for long-lived projects. It produces a stable execution history: what was decided, when it was approved, and what outputs were finalized.

Scroll: the current step is highlighted automatically. Deterministic progression
At a glance

Execution is a chain of fixed truths

DevFactory treats each output as a contractual artifact. Artifacts accumulate into finalized stage summaries, which accumulate into a ProductSpec and build constraints. Nothing is implied.

Project
Slice
Stage
Artifacts
Approval
Deterministic dependencies, not “process theatre”.
Step 01

Project kernel

Foundation

A project is the only top-level entity. It owns the canonical flow definition, the execution slices, and the permanent history of approvals and artifacts.

The kernel exists to prevent fragmentation: no “parallel realities”, no duplicated specs, no hidden side channels. There is one execution truth.

Why it matters to clients

It becomes possible to audit what was agreed, what was delivered, and what changed — without relying on conversations.

This reduces delivery risk and prevents rework caused by reinterpretation.

Step 02

Slices: contract units

Scope control

A slice is an execution contract. One slice introduces exactly one new capability. Past slices are immutable; changes happen only through new slices.

This rule eliminates “silent scope expansion”. If the meaning changes, the contract changes — and the history records it explicitly.

Allowed
  • Archive a slice (history preserved).
  • Create a new slice for a semantic change.
  • Keep one active slice as the execution focus.
Disallowed
  • Deleting slices.
  • Changing meaning inside finalized history.
  • Parallel “active” execution contracts.
Step 03

Stages: atomic steps

Ordering

Within a slice, work is divided into ordered stages. Each stage is atomic: it produces artifacts, is reviewed, and is approved before the next stage begins.

This prevents “partial completion” from becoming the new baseline. A stage is either finalized or it is not complete.

Client implication

You can see exactly where the project is: which stage is active, what outputs exist, and what is awaiting approval.

No ambiguous status labels. The stage pipeline is the status.

Step 04

Artifacts: stage-bound outputs

Evidence

Artifacts are the measurable outputs of a stage: markdown, structured data, or files. They are owned by the stage and form a permanent execution record.

Artifacts are not “notes”. They are contractual evidence. Once a stage is finalized, artifacts become read-only.

Examples
Requirements snapshots
Decision statements
Approved UI references
Data models
Acceptance criteria
Client-ready summaries
Step 05

Done Summary & approval

Final truth

A stage is not complete when “work was done”. It is complete when its truth is finalized: a Done Summary is written and formally approved.

Dual approval prevents drift: the execution owner finalizes the output, and the project viewer/client confirms it reflects reality.

What this prevents

“We assumed you meant …”

“It was discussed somewhere.”

“We can’t reconstruct why this exists.”

Step 06

Decision & invariant memory

Memory

DevFactory stores explicit decisions and invariants as durable project memory. Decisions can be superseded; invariants are immutable constraints.

This prevents “decision entropy”: the gradual loss and repeated re-debate of settled facts.

Decision

A choice made for the project that can change via a new slice, with explicit lineage.

Invariant

A non-negotiable constraint that remains stable across the project history.

Step 07

ProductSpec assembly

Execution contract

When the project reaches objective readiness, DevFactory assembles a deterministic ProductSpec from approved artifacts and finalized Done Summaries.

ProductSpec is not a plan and not a task list. It is a locked execution contract snapshot. Assembly happens once and is not re-assembled.

Step 08

Build Context contract

Build discipline

Build Context defines hard development rules: stack constraints, allowed patterns, refactor discipline, and test rules. It is immutable and changes only via a new slice.

This ensures execution quality is governed by contract, not by momentary preference or team variance.

Step 09

Pause & resume

Continuity

DevFactory is designed for safe pauses. Because decisions, artifacts, and approvals are stored structurally, the project can be resumed months later without interpretation drift.

The assistant can help preserve continuity by presenting the current execution context and constraints, but ownership and approval remain human-controlled.

Step 10

Reporting / audit trail

Evidence

Because the system is contract-driven, it can generate read-only reports from artifacts, Done Summaries, and decisions. This enables client reporting without duplicating logic or rewriting history.

The result is audit-ready: what was agreed, what was approved, and what was delivered are all queryable in one place.

This is why delivery becomes predictable

When execution is constrained by contracts, decisions, and approvals, projects stop drifting. Progress becomes measurable, resumable, and explainable — even long after the original context is gone.

Deliverables are contractual outputs

DevFactory does not produce “documentation for documentation’s sake”. It produces execution artifacts that act as evidence: what was agreed, what was approved, and what became the finalized truth.

These deliverables make the project auditable, resumable, and resistant to team changes. They also make client communication objective: the deliverables are the status.

Read-only after approval
Scroll: explore deliverables by type and audience.
Output map

A single execution history, packaged for different audiences

Internally, DevFactory preserves a complete chain: artifacts → done summaries → decisions → contract snapshots. Externally, it can present those outputs as owner-level operational clarity or client-level formal proof.

No manual rewriting
Artifacts
Approvals
Done Summaries
Decisions
ProductSpec
Reports
Outputs are generated from live data, not duplicated across systems.

Owner view: operational execution clarity

For the owner, deliverables are used to run the project: validate the stage truth, preserve decisions, and maintain a controlled execution pipeline. The owner view emphasizes internal clarity and constraints.

Stage artifacts
Evidence
Read-only

Concrete outputs bound to a stage: specifications, references, structured records, files. Artifacts are the raw evidence of what was produced.

  • Markdown / JSON / binary files
  • Deterministic ownership by stage
  • No deletion, stable history
Done Summary
Final truth
Approved

A finalized summary of a stage: what was completed, what is true now, and what outputs are accepted. This becomes the stage’s official truth.

  • Dual approval (owner → viewer/client)
  • Immutable once finalized
  • Used for reports and contract snapshots
Decision registry
Memory
Versioned

Explicit decisions stored as durable facts. Decisions can be superseded with lineage. This prevents repeated debates and intent loss.

  • Supersede instead of rewrite
  • Change only via new slice
  • Used in context reconstruction
Invariant registry
Non-negotiable constraints
Immutable

Hard rules that must remain stable. Invariants are the project’s guardrails: what is always true, always required, and never reinterpreted.

  • Cannot be edited retroactively
  • Acts as execution safety rail
  • Prevents “creative drift”
ProductSpec (assembled)
Locked execution contract
One-time

A deterministic contract snapshot assembled from approved artifacts and finalized stage summaries. It is not a task list. It is the agreed execution truth.

  • Assembled only when objectively ready
  • Cannot be re-assembled
  • Acts as build entry contract
Client reports
Audit-ready communication
Generated

Read-only reports generated from live artifacts and finalized truths. This avoids duplication, avoids rewriting, and preserves consistent meaning.

  • Owner / client views
  • Formal project proof
  • No manual reformatting required

Deliverables replace ambiguity

Instead of status updates, you get contractual outputs. Instead of “trust me”, you get approved truths. Instead of fragile memory, you get permanent decision history.

Engagement is slice-based, not “endless hourly work”

DevFactory is designed for controlled delivery. Work is structured into fixed contract slices with explicit approvals — so progress remains measurable and scope remains stable.

You do not buy “developer time”. You buy a controlled execution unit with known boundaries, clear outputs, and formal acceptance.

Client promise
No silent scope expansion
Contract-first

A slice introduces one capability. If meaning changes, a new slice is created. This keeps delivery fair and predictable for both sides.

You always know
What is included
You always know
What will be delivered
You always know
What is awaiting approval
You always know
What changed and why
Scroll: compare engagement models and see how they map to controlled execution.
Model A
Fixed-scope slice
Default

Best when you want a controlled delivery unit with clear boundaries. Scope is defined, outputs are fixed, and acceptance is explicit.

  • One slice = one capability
  • Artifacts + Done Summary as proof
  • Formal approval gate
  • Changes require a new slice
Typical use
New capability, refactor contract, migration, launch step
Model B
Retainer with slices
For ongoing work

Best when you need regular progress but still want contract boundaries. Work is delivered as a sequence of small slices, each approved independently.

  • Continuous queue of candidate slices
  • Single active slice at a time
  • Objective completion per stage
  • Stable decision memory across months
Typical use
Roadmap execution, product evolution, operational improvements
Model C
Audit & rescue
When things are messy

Best when the project already exists but has degraded. The goal is to restore execution truth: decisions, invariants, and contractual boundaries.

  • Recover decision history
  • Stabilize constraints & invariants
  • Reconstruct stage truth
  • Restore predictable delivery
Typical use
Legacy system takeover, stalled projects, broken expectations

Pricing is based on slice boundaries

DevFactory pricing is structured around what the slice introduces and how much contractual verification is required. More complexity means more verification artifacts, approvals, and safety rails.

Instead of promising precise estimates early, the system produces reliable ranges once the contract is clear. This keeps expectations realistic and reduces delivery conflict.

What is fixed
  • Slice scope boundary
  • Required deliverables
  • Approval checkpoints
  • Acceptance definition
What is flexible
  • Delivery sequencing
  • Optional enhancements
  • Future slices
  • Long-term evolution
Estimator
Typical slice range (indicative)
Not a quote

Use this to understand how contract complexity affects a delivery unit. Final range is defined only after evaluation and scope locking.

Complexity Medium
Verification level Standard
Indicative range
€15k–€40k
This range reflects delivery-unit cost structure, not project total.
For a formal evaluation and a real slice contract, use the evaluation form above.

A typical engagement lifecycle

Even if the project is large, execution always follows the same rules: evaluation → contract slice → staged outputs → approval → next slice. This is what creates predictability.

Evaluation
Scope is clarified and framed as an execution contract. Risks and constraints are surfaced early.
Slice proposal
A slice is proposed with fixed boundaries, required outputs, and acceptance rules.
Execution
Stages produce artifacts and formal truth. Work continues only with required prerequisites.
Approval
Done Summary is finalized and approved. Outputs become immutable evidence.
Next slice
If meaning changes or new capabilities are required, a new slice is created.

Why this model works for clients

Because both sides share a contractual execution reality. The client can validate what is true, what is done, and what is next — without relying on interpretive updates or informal agreements.

This dramatically reduces delivery conflict, rework, and the “lost context” problem that typically escalates cost over time.

Trust is a system property

DevFactory is built to make delivery verifiable. The goal is not “trust me”. The goal is: you can inspect what is true, what is approved, and what changed — at any time.

Security here is not only about access. It is about preventing drift, preventing silent rewrites, and preserving an auditable chain of contractual evidence.

No deletion of execution history Read-only after approval Explicit decision memory
Trust model
Different stakeholders, same guarantees
Focus

Switch the framing below. The underlying guarantees stay the same, only the emphasis changes.

Client emphasis

You can verify progress by outputs, not by claims. Every stage ends with an approved truth. Every change has lineage. Nothing is silently rewritten.

Guarantees are structural: they do not depend on “good habits”.
Scroll: explore threat → control mapping and operational guarantees.
Threat model

Typical delivery failures and how the system prevents them

Mapping
!
Scope drift
Slices as contract units. Semantic change requires a new slice.
!
Context loss
Decision and invariant registry as durable memory.
!
Invisible progress
Stage artifacts + Done Summary as measurable truth.
!
Silent rewrites
Read-only outputs after approval; immutable history.
!
Unclear accountability
Dual approval and audit trail across stages.
!
Inconsistent execution rules
Build Context as a hard development contract.
Result
Your project remains explainable: what happened, why it happened, and what is true now.

Operational guarantees

Enforced

DevFactory does not rely on “discipline”. It encodes discipline into the system. The following rules are structural and enforced by design.

No deletion of execution history

Slices, artifacts, and approvals are not removed. History exists to prevent rewriting reality.

Read-only after approval

Once a stage truth is finalized, outputs become immutable evidence.

Explicit change lineage

Decisions can be superseded with explicit lineage, not overwritten silently.

Single active focus

One active slice and one active stage reduces parallel confusion and split context.

Deterministic reconstruction

Project context can be reconstructed from live data, not from memory.

Access boundaries

Access is role-based. Sensitive internal execution context is not exposed to viewers unless explicitly intended. The system separates operational tooling from client-facing outputs.

Owner
Controls slices, approvals, and internal execution tooling.
Viewer / Client
Reviews deliverables, approves stage truths, receives formal reporting outputs.
Principle
Visibility is intentional. The system avoids exposing internal mechanics as a client burden.

Trust without heroics

The purpose of DevFactory is to make reliability structural. When a system preserves contractual truth, clients stop fearing “lost context” and “silent changes”.

FAQ & common objections

These answers focus on how DevFactory behaves as a delivery system: what is enforced, what is guaranteed, and what is explicitly out of scope for v1.0.

If you are evaluating me as a contractor: this section is designed to remove ambiguity before we start.

Search the FAQ and open answers instantly (supports deep links).
Is DevFactory a task manager like Jira/Linear?

No. DevFactory is a contract and evidence system. It does not optimize for “task throughput”. It optimizes for deterministic delivery: approved truths, stable scope boundaries, and reconstructable history.

How do estimates work if scope can change?

Scope changes are handled explicitly: semantic change requires a new slice. Estimates become reliable after the slice boundary is locked. Early estimates are ranges; the system is designed to prevent false precision.

What if I change my mind mid-way?

Then we create a new slice. The old slice remains in history. This avoids rewriting reality and keeps accountability clean. You can evolve the project without losing what was already approved.

Can we pause the project and resume later?

Yes — that is a core design goal. Because outputs, approvals, and decisions are stored structurally, the project can be resumed without relying on personal memory or chat logs.

Who approves what?

Each stage ends with a Done Summary. The owner finalizes the truth and the viewer/client confirms it reflects reality. After approval, outputs become read-only evidence.

What do I get as a client besides “progress updates”?

You get contractual deliverables: stage artifacts, approved Done Summaries, decision/invariant memory, and report outputs. These are stable, auditable, and usable long after the project ends.

How do you prevent scope creep?

By design: one slice introduces one capability. Past slices are immutable. A semantic change creates a new slice. This makes scope creep visible and negotiable instead of accidental.

What is “read-only after approval” and why is it important?

It means approved outputs cannot be silently edited. This protects both sides: the client gets stable proof, and the contractor avoids infinite reinterpretation loops.

Can this become a SaaS product?

Yes. The primitives are SaaS-friendly: projects, roles, immutable flows, artifacts, approvals, reporting, and controlled execution units. The same structure that protects client delivery also supports scalable governance.

What is explicitly out of scope for v1.0?

Task management, cost tracking/estimates as a system, chat history storage, auto-generated work items, timelines/Gantt, and “AI autopilot” features. v1.0 focuses on execution truth and controlled delivery.

Objections

Hard questions, direct answers

DevFactory is intentionally strict. These constraints are what make delivery predictable. If you want speed without discipline, this is not the right system.

Strict by design

Ready to build with a factory-grade process?

If you want predictable delivery with explicit approvals and audit-ready outputs, start with evaluation.

For serious engagements, the first step is always an evaluation.