Swifter turns your organization into an AI‑native engineering powerhouse, running Autonomous SDLC in your environment, customized to your governance and security policies, integrated with tools and coding agents you already have.
1
Greenfield applications and features
Up to 5x faster time‑to‑market for new software development.
2
Brownfield changes in existing systems
Clear the backlog, technical and security debt, without adding headcount.
3
Reverse and forward engineering
Modernize legacy systems in weeks, instead of multi‑month rewrites.
Standardize agentic engineering best practices across your entire organization
52 → 38−27%
Cost per change, reduction
Week 152 creditsWeek 1238 credits
Make cost per change a managed number.
v3 approvedAudited
One governed agentic methodology for every team, agent and model.
Ad-hoc → Standardized
Agentic engineering maturity
Best practices standardized across the whole organization.
Define the pipelines, agents and verifications based on your methodology. Add your preferred skills, plugins and MCP servers, and let the factory optimize them from every run. Each work item ends as a reviewed, compliant pull request with evidence, in your own repository.
People command and make decisions. Agents execute the work.
Agents do the workEvery stage, in parallel where they can
People decideApprove, decide and merge
Swifter
Syncs the item from Jira, Azure DevOps or GitLab, with its link to the source.Analyst agents
Write specs and acceptance criteria from the request and the Figma design.Architect agents
Write the architecture and the technical design: every file, type and test.Developer agents
Claude Code, Codex, GitHub Copilot or Cursor build it in a cloud sandbox, on its own branch.QA agent
Write Playwright tests and run them on the live preview, with a video of each test.Checks on the real diff
Run rubrics, type checks, lint and unit tests, and fix a failed check once, automatically.Swifter
Opens the pull request with the specs, the code and the test evidence.A pipeline routes each work item through stages. A team of agents works each stage.
Agentic pipelines Design and build
Version · v3 approvedGraphRoutingReview modesVersionsRoutes FeatureChange request
Requirements2 nodes
Architecture2 nodes
Development3 nodesIn parallel
Quality2 nodes
DraftApproved v3Pinned for 12 running work itemsReview mode ManualAutomatedNone
Pre-built SDLC agents for analysis, architecture, development and QA. Change them, or add your own.
Backend team
A verification grades the agent's output against the spec, with clear evidence.
feature/0142-2-card-api5 files · +214 −38
The method lives in the platform, so an improvement made once reaches every team. The factory improves it from its own runs.
Cost per change
52 → 38credits, over 12 weeks
Teams of role agents take a work item from request to pull request on their own. People step in only at the review points they choose.
“Add saved cards to checkout. Follow our PCI rules, reuse the payment API, and show me the design before you start coding.”
Each round ends as Done Input required Blocked
Use the coding agents and models you already pay for. Swifter’s meta harness runs them all under one method, and its LLM gateway routes, meters and caps every model call.
Coding agents
Model providers
Leadership reports on automation and cost per change. Swifter measures every work item, meters every token and feeds what it learns back into the method.
Software factoryAll projects · last 12 weeks · measured from Git and the work items
Delivery velocity
2.1xpoints per week
+111%62 → 131 points a week
Week 1Week 12
Factory automation
74%of PR lines by agents
+36 ptsfrom 38% in week 1
Week 1Week 12
Quality
92%checks passed first run
+21 ptsfrom 71% in week 1
Week 1Week 12
Cycle time
4.1 daysrequest to merged PR
−63%from 11.2 days in week 1
Week 1Week 12
Quality scorecard
The last signal is better when it is lower.
Cost per change
52 → 38credits
−27%as routing moves tasks to the right model
Week 1Week 12
Each work item carries its specs, sessions, evidence, grades, usage and audit events. Metrics come from actual Git commits. Teams share one method, so they compare on the same terms.
Pull request #418412 lines · measured line by line from Git
Automation by team, one agentic engineering methodology
Tokens are the largest variable cost in agentic delivery. Today they sit on seats and sessions, where finance cannot see them. Swifter makes cost per change a managed number.
48,920 creditsthis month, attributed to every change
By work item
By team member
By team
By org unit
Organization allowance
48,920 of 65,000 credits used · warning sent at 75%
One engineer runs dozens of agents in parallel, in the cloud, not on a laptop. Each agent works in its own secure sandbox, on its own branch.
Steers dozens of agents at once and steps in only where needed.
Secure cloud sandboxesIsolated pod · own branch · credential proxy
Long-running agents need a reliable loop: the actual application, running live, and realistic tests they can run again and again.
Live preview · checkoutRunning
Test, fix, test againOn the live app, until every test passes
Apply a discount codeFailed at step 3
Expected total $76.00, got $84.00
ScreenshotTraceConsole
POST /api/discounts → 400: field "code" is required− body: { discount }+ body: { code: discount }Apply a discount codePassed, with video
Preview one module, a Docker Compose stack or a whole Kubernetes cluster of services, for every session. Each preview gets its own databases, queues and mocks, and its own URL.
Preview clusternamespace preview-0142-18 of 8 running
https://preview.acme.dev/0142-1
Analyst and architect agents turn a business request into requirements, an architecture and specs, and a person approves each one. Every business capability traces to its modules, requirements, acceptance criteria and tests.
TraceabilityPayments capability · Acme Checkout100% covered1 link to re-check
Business capability
Solution modules
Requirements in specs
Acceptance criteria
Tests
Analyst and architect agents write each artifact in turn. A person approves the requirements and the architecture before coding starts.
3 approvals before any codeAgents write every artifact. A person approves the ones that set direction.
1Work item
ACME-412 · Feature
Checkout with saved cards
From Jira, with attachments
Written by your tracker
2Business requirements
BR-03Pay with a saved card
BR-05Remove a saved card
BR-07Card data stays tokenized
Approved · James Smith
3Business architecture
PaymentsCheckoutCard wallet
Capability, process and the systems it touches
Approved · James Smith
4Solution architecture
Checkout webCard serviceCards DB
Interfaces, technologies and non-functional needs
Approved · James Smith
5Specs and acceptance criteria
Saved cards are listed
Default card preselected
Expired card rejected
Written by analyst agents
6Technical design
SavedCards.tsx
CardController.java
V12__cards.sql
Written by the implementation designer
One graph of the system: its modules, interfaces, data and dependencies, across frontend, backend and database.
System knowledge graph3 repositories · 148 nodes · updated on every merge
Every requirement links to the specs, code and tests that cover it.
| Requirement | Spec | Criteria | Code | Tests |
|---|---|---|---|---|
| REQ-12 Pay with a saved card | ||||
| REQ-13 Remove a saved card | ||||
| REQ-14 Block expired cards | ||||
| REQ-15 Card nickname |
LinkedRe-checkNot covered yetExport CSV
See what a change touches before work starts, inside the application and across your application portfolio.
ChangeREQ-12 Pay with a saved card
Across the application portfolio: downstream systems
Agents turn Figma designs, images or text into specs for pages and components. They build every screen on your design system and your own component library, with Storybook stories for review.
1 · Figma frame
Checkout / Payment
Or an image, or a text description
2 · Component spec
SavedCardList.yaml
component: SavedCardList
props: cards, selectedId
layout: stack, gap space.3
card.border: color.border
selected: color.primary
button: button.primary
states: loading, empty, error
Written by the frontend analyst agent
3 · Built and previewed
checkout · webLive
Your design system, applied at every step
AaAaAaheading · body · caption
space.1 – space.3
Extend every agent with skills, plugins and MCP servers, from the marketplace or from your own sources. Each one is approved before agents use it.
Sources
Approval
Every agent, every project
Swifter works with the tools your teams already use, in the cloud or self-hosted. Credentials stay in your secret store, never with the agents.
Work items sync from your tracker, with links back to the source. Agents read your documentation as context.
The frontend analyst agent turns Figma frames into component specs. Built components show in your Storybook.
Clone, push, pull requests and webhooks. Merges follow the review policy of your Git host.
Your pipelines build and check each change. Their results return to the work item.
SOC 2 Type II
ISO/IEC 27001
The whole factory runs on Kubernetes in your own cloud account.
The factory runs on your own Kubernetes or OpenShift, in your data center.
For the most demanding environments. No outbound connection: the factory and the model endpoints run inside your network.
A single-tenant instance that Swifter runs for you, in the region you choose.
People sign in with your identity provider. Their access comes from your directory.
Your identity provider
Swifter roles
MFA requiredSCIM sync: 2 added, 1 removed today
Credentials live in your own vault. Agents never see them.
__GITHUB_TOKEN__A placeholder, never the secretYour vault
Logged: secret.read · integration_github_token · fingerprint 9f3a…c21
Every significant action is recorded, with who did it, what changed and when.
Audit logEach event stored exactly once
config.version_approvedjames.smithsecret.readcredentials-proxyverification.failedbackend-developeruser.signed_inmaria.chenegress.blockedcredentials-proxyThe platform reports its metrics in an open standard, to the observability tools you already run.
swifter_agent.token.usageTokens per agentswifter_agent.cost.usdCost per agentverification.pass_rateFirst-run pass rateMove from ad hoc usage of coding agents and uncontrolled token spend to one governed software factory, with improved delivery speed, quality and cost you can measure.