Available now
Cloud
Codalio hosts the factory. Your team describes features, reviews the spec, and approves what ships.
Spec-first AI software factory
From prompt to production-ready enterprise-grade software
- Stakeholders describe features directly — no waiting on a senior engineer
- Seniors set SDLC guardrails; engineers validate AI code before shipping
- Living PRD and technical spec — you design, the factory builds, you approve
Idea → staging in a day
Not six months of scoping followed by a $20M question mark.
9-station agentic flow
Plan, develop, test, debug, review, compliance-check, commit, merge — configured automatically.
100% traceable
Every line of code maps to a requirement, a test, and a compliance check.
Agentic engineering loop
Spec
system of record
Agents
orchestrated
Humans
gates
Ship
+ operate
Industries
Defense, energy, and sovereign software
The 10x shift
1x → 10x
We turn builders into 10x engineers.
AI commoditized coding speed. Judgment is what is scarce — and what Codalio multiplies. Seniors set the guardrails; the factory plans, builds, and tests around them.
Judgment over speed
You set direction, review, and decide. The factory executes against the spec.
Full-team leverage
One person shipping at the scale that used to take a squad — without dropping the quality bar.
Governed agents
Every agent builds against the living PRD. Engineers validate before production.
Augment, don’t replace
Studio and cloud modes keep models, data, and process under your control.
How you run it
Cloud factory or Codalio Studio
Same living PRD, same agents. Choose whether Codalio runs the build for you, or your team runs Codalio inside its own lifecycle.
Coming soon
Studio
Run the factory in your environment — models, data, and process stay under your control. Codalio Studio.
“We are at the dawn of something real — one person shipping at a scale that used to require a team of twenty.”
— Garry Tan, CEO, Y Combinator — on the rise of the software factory
“I had to build the house. Now I can architect the house… The next generation of people like me will be the architects, and they’ll be very, very smart and they know how to say, ‘this is what I want.’”
The shift
Demo-first tools vs. agentic engineering
Most AI coding products optimize for the moment the screen looks right. Agentic engineering keeps the product specification central to the full application lifecycle — so the artifact that survives the demo is the spec.
PROMPT → APP (FRAGILE)
- Output decouples from intent after a few iterations.
- Hard to diff “what changed” against a quality bar.
- Ops, security, and ownership trail the demo.
SPEC → AGENTS → SHIP (CODALIO)
- Living PRD / scope is the anchor for automation and review.
- Human gates stay on architecture, security, and acceptance.
- Path to code + cloud with traceability your teams can defend.
Same ask, different path
Intent to validation was the broken pipeline
A true story from a major bank — and what the same objective looks like through Codalio.
THE OLD WAY
- 1January — CEO: “Improve onboarding 25%”
- 26 months interviewing engineers & scoping
- 3$20M plan lands on the CEO’s desk
- 4“Priorities have changed.”
Six months of senior time, zero shipped value.
THROUGH CODALIO
- 8:00 AM — objective stated in plain English
- 8:15 — PRD, spec & plan vs. existing architecture
- Hours — build · test · debug · review · compliance
- Same day — PR approved, running on staging
The decision happens while the question still matters.
How it works
From business intent to production code
The bottleneck was never typing speed — it is translating what the business wants into what engineering builds. Codalio automates the whole chain.
English promptPRDSpec & scopeCode you ownDeploy & scale
DESCRIBE
State the objective
Plain English is enough: “Cut customer onboarding time by 25%.” Codalio starts from business intent — not a stack of tickets.
SPECIFY
Living PRD and acceptance criteria
Sharp clarifying questions produce the PRD, technical spec, and acceptance criteria — the contract agents work against.
PLAN
Plan against your systems
Codalio reads your existing codebase and architecture, then plans within them. Scope and cost are visible up front.
BUILD & SHIP
Factory runs; humans hold the gate
The agentic pipeline builds, tests, and compliance-checks. Your engineer reviews the pull request and merges.
The factory floor — nine stations, configured automatically
No hand-built workflows. The orchestration layer generates the agentic flow itself. Agents work from shared context — not a prompt loop that forgets what it built yesterday.
Plan
Architecture & implementation plan vs. your existing systems
Develop
Proven patterns + AI for the code that differentiates you
Write Tests
Coverage built from spec acceptance criteria
Run Tests
Full suite executed, results captured
Debug
Failures diagnosed & fixed in-loop
Review
Quality, security & architecture checks
Compliance
Validated against your regulatory rules & standards
Commit
PR opens with full end-to-end traceability
Merge
Your engineer reviews, approves & ships
See how it works
See how it works
Two short walkthroughs of AI requirements-to-code and code-to-documentation, one in each direction.
Requirements to Code
Plain-English objective → product plan, technical plan, tested code and a pull request.
Code to Requirements
Legacy codebase → readable living specification, the starting point for modernization.
Technical deep dive
We bet on the orchestration era
Every infrastructure wave ends the same way: what experts assemble by hand becomes a layer software generates. It happened to the cloud. It is happening to agentic coding — and Codalio was built for the second generation from day one.
GENERATION 1
A senior engineer is the orchestrator
Senior engineer → reads requirements → writes tech spec → designs the agent team by hand → babysits hand-offs. Every project needs a scarce expert. The expert is the bottleneck.
GENERATION 2 — CODALIO
The orchestration layer is the orchestrator
Business intent → Codalio orchestration layer → requirements, spec, architecture, agentic flow → engineer approves the PR. Your experts supervise instead of assembling.
Monolithic prompting breaks as the codebase grows past what any model holds reliably. Codalio keeps accuracy high by giving each agent a deliberately narrow context — one concern, one slice of the system.
Spec DNA
Don’t regenerate what’s already solved. Own what isn’t.
Most “new” enterprise code repeats patterns the industry has already perfected. Codalio splits the work at spec time — and keeps the spec and the code permanently in sync.
75–85%
Commodity patterns
Instantiated from pre-validated components — deterministic, tested, identical on every run.
15–25%
Your differentiation
AI-generated, then validated against your compliance rules and acceptance criteria.
~98%
Regenerable from the spec
Your living DNA means stack migration, modernization, and disaster recovery start from requirements — not tribal knowledge.
Coding always surfaces cases no one could see at the business level. Codalio writes them back into the product requirements — so the spec never drifts from reality. That living spec is your DNA: the complete, executable description of your system.
Why enterprises choose Codalio
The old way is broken. The factory fixes it.
AI has commoditized coding speed — judgment is what’s scarce. Codalio gives every engineer the leverage of a full team: they set direction, review, and decide, while the software factory plans, builds, tests, and compliance-checks around them.
95%
of enterprise GenAI pilots delivered zero measurable P&L impact
MIT Project NANDA, 2025
~80%
of technology projects are derailed by scope creep in the intent-to-spec layer
Industry pattern
$2.41T
annual cost of poor software quality in the U.S. alone
CISQ, 2022
Speed to decision
Six-month scoping becomes a same-day answer — with working software attached. Decide before you commit millions.
Speed to production
Quarters compress to days. Projects your roadmap could not reach become feasible.
Capacity, not headcount
Engineers stop translating and boilerplating — and start deciding, reviewing, and shipping.
Governance you can defend
Every change traces to a requirement, test result, and compliance check. Drift is visible immediately.
An asset you own
Your spec DNA — requirements, decisions, edge cases — outlives any developer, vendor, or stack.
The 10x shift
1x → 10x
We turn your engineers into 10x engineers.
AI has commoditized coding speed.
Judgment is what’s scarce.
Codalio gives every engineer the leverage of a full team — they set direction, review, and decide, while the factory plans, builds, tests, and compliance-checks around them.
One engineer, shipping at the scale of a team of twenty.
We augment your team.
We don’t replace it.
The organizations winning with agentic engineering aren’t cutting their senior people — they’re multiplying them. Codalio takes the judgment, domain knowledge, and standards already inside your team and gives them industrial leverage.
The transition, handled
Your roles evolve. We train them.
The hardest part of agentic engineering isn’t the technology — it’s the operating model. Codalio ships with the training and workshops that carry your organization through the change.
Product Managers
Ticket writers
Specification authors — the spec is the new act of creation
Architects
Diagram keepers
Orchestration designers — mapping agent flows to enterprise standards
Developers
Implementation typing
Validators & deciders — review, approve, and handle what machines cannot
CTOs & leaders
Project shepherds
AI governors — owning spec frameworks, compliance gates, and quality bars
Executive briefings
What agentic engineering changes for portfolio planning, budgeting, and governance.
Engineer enablement workshops
Hands-on: writing effective specs, supervising agentic flows, mastering review-and-approve.
Role-transition pathways
Structured guidance for PMs, architects, and engineering managers stepping into evolved roles.
First-initiative co-delivery
We run your first real initiative through the factory side-by-side — capability transfers, not just a tool.
Enterprise posture
What “enterprise” means with Codalio
Four commitments your architects, security, and procurement teams will care about — built for regulated and sovereignty-sensitive buyers.
Governed build, not generated guesswork
Every change is traceable to the intent it came from. Your architects review what AI is doing — and why — without parsing prompts.
Operational fundamentals, included
Logging, monitoring, environment hygiene, and deployment discipline are part of the build — not a follow-on cleanup project.
Your code, exportable
No lock-in to a runtime only Codalio can host. If you ever need to leave, you leave with the system you built.
Auditable specifications
Auditable specification histories give regulated industries the transparency, compliance traceability, and change governance they need.
Codalio supports deployment patterns aligned to data residency and model-hosting requirements — with a service layer most foundation-model providers don’t offer. Detailed posture, integration patterns, and a security FAQ are shared under NDA during pilot scoping.
Fast Start
A 60-day pilot procurement will actually approve
Bring us the objective your team has been trying to scope for months. Bounded scope. Clear exit criteria. NDA and master license signed up front — a successful pilot rolls directly into deployment without restarting legal.
- One team, one workflow — chosen with you.
- Architecture and security reviews scheduled at named milestones.
- Written ROI model and expansion plan at day 60.
1
DAYS 0–10
Frame and align
Workflow selection, data and integration access, named success metrics. Architecture and security checkpoints scheduled with your team.
2
DAYS 10–45
Guided build, in your environment
Specification, implementation, and operational baseline delivered inside Codalio. Reviews at named milestones — no surprises at day 60.
3
DAYS 45–60
Measured outcomes and expansion plan
Outcomes evaluated against the metrics you set. ROI model and a written expansion plan delivered to your sponsor.
FAQ
Agentic engineering — questions every CTO asks
Plain-language answers you can map to procurement, architecture review, and AI search.
What is agentic engineering?
Agentic engineering is a software delivery model where AI agents implement and refactor work against a shared specification—typically a living PRD and technical scope—with explicit human checkpoints for architecture, security, and acceptance. Progress is meant to be traceable from business intent to production, not optimized for a one-time demo.
What is an enterprise software factory?
An enterprise software factory is an agentic pipeline that turns business intent into production-ready software through automated stations—planning, development, testing, debugging, review, compliance, commit, and merge—while humans hold the approval gates. Codalio generates that orchestration per work item instead of requiring a senior engineer to assemble it by hand.
How is enterprise agentic engineering different from prompt-to-app AI coding?
Prompt-to-app tools optimize for fast on-screen output. Enterprise agentic engineering optimizes for the artifacts and reviews that survive Monday morning: a durable spec, governed changes, evidence for security and architecture reviewers, and a path to ship and operate without abandoning intent after a few iterations.
What does spec-first mean in agentic engineering?
Spec-first means the product and technical specification is the anchor for automation: agents and workflows diff their work against the spec, and reviewers compare deliverables to the same contract. Edge cases discovered in code sync back into the living spec so requirements and software never drift.
What role does Codalio play in agentic engineering?
Codalio is the orchestration and augmentation layer for agentic engineering: it produces structured specifications from business needs, generates the agentic flow for each work item, and compresses the path from unclear intent to reviewable, enterprise-class software—without replacing executive technical leadership or delivery ownership.
How does human oversight work in agentic engineering?
Human oversight is designed into the process: named gates for architecture, security, and acceptance remain with customer leads, while automation handles repetitive specification and implementation labor. Your engineers review and approve the pull request. The goal is legible handoffs—reviewers see what changed, why it changed, and how it maps to the spec.
Why does agentic engineering matter for regulated or sovereignty-sensitive organizations?
Regulated buyers need traceability, data residency choices, and controlled integration patterns—not opaque model calls. Agentic engineering aligns delivery to evidence and policy: what was built, what it connects to, and what was reviewed—so teams can defend decisions to auditors and internal risk committees.
“Velocity without chaos, automation without loss of intent.”
Ready to scope a pilot?
A 30-minute conversation. We’ll tell you honestly whether a Codalio Fast Start fits your team and timeline — and show you the spec, the plan, and working software before your next steering committee meets.
Looking for the founders and innovators edition? Codalio for founders and innovators.