iOS feature implementation (hired developer agent)
The Jira story is taken, built in SwiftUI, tested and opened as a PR; review and release decisions stay with the team.
iOS feature implementation (hired developer agent)
- PAY-118 “Payment screen accessibility” ready: 5 points, 6 acceptance criteria
- Figma frame and PaymentView.swift read; 3 components, 2 reusable modifiers
- Plan: VoiceOver labels, Dynamic Type, contrast; 4 unit + 2 UI tests
- 5 files changed, 214 lines; 6 tests written and passing locally
- PR #4821 opened; Xcode Cloud: build and tests green (4 min 12 s)
- Lint 0 warnings; accessibility audit 6/6; code-ownership rule: mobile team reviews
- Human review: 2 comments (naming, one more test) → applied, approved
- Work log: PAY-118 · PR #4821 · 5 points · hour-equivalent 6.5 · quality 4.7 · cost written
- Jira story moved to “reviewed”; release-note draft attached
- ■completed
Simulation · derived from real agent definitions · every agent can be built by dialogue with the Autonomous Agent and validated with a test corpus
An iOS story reaching “ready” in the sprint
Tested PR opened, CI green, review comments applied; output and hour-equivalent written to the work log
Agents
iOS Developer Supervisor
Decomposes the objective, delegates to agents, manages approval points, merges the result.
Analysis Agent
Reads the story, the design and the existing code, drafts the plan
get_storyget_figma_framesearch_codebasedraft_planDevelopment Agent
Writes the SwiftUI code and tests
edit_filesrun_unit_testsrun_ui_testsopen_prReview Agent
Self-reviews against the rules, applies review comments
lintcheck_accessibilityapply_review_commentslog_workSteps
| # | Kind | Agent | What happens | System | ms | tok |
|---|---|---|---|---|---|---|
| 01 | ingest | iOS Developer Supervisor | PAY-118 “Payment screen accessibility” ready: 5 points, 6 acceptance criteria | Jira | 200 | — |
| 02 | tool | Analysis Agent | Figma frame and PaymentView.swift read; 3 components, 2 reusable modifiers | Figma | 520 | — |
| 03 | reason | Analysis Agent | Plan: VoiceOver labels, Dynamic Type, contrast; 4 unit + 2 UI tests | — | 900 | 1,400 |
| 04 | write | Development Agent | 5 files changed, 214 lines; 6 tests written and passing locally | GitHub | 1,600 | 3,200 |
| 05 | tool | Development Agent | PR #4821 opened; Xcode Cloud: build and tests green (4 min 12 s) | Xcode Cloud | 700 | — |
| 06 | verify | Review Agent | Lint 0 warnings; accessibility audit 6/6; code-ownership rule: mobile team reviews | — | 600 | 520 |
| 07 | approval | iOS Developer Supervisor | Human review: 2 comments (naming, one more test) → applied, approved | — | 3,000 | — |
| 08 | write | Review Agent | Work log: PAY-118 · PR #4821 · 5 points · hour-equivalent 6.5 · quality 4.7 · cost written | Workforce Work Log | 300 | — |
| 09 | notify | Review Agent | Jira story moved to “reviewed”; release-note draft attached | Jira | 240 | — |
Feature delivery pipeline
A Jira epic turns into criteria, design, code and tests via agents; humans only review and approve the PR.
CI/CD release pipeline
Build, tests, scans and staging run unattended; production ships only on release-manager approval, via ArgoCD.
Incident response and hotfix
Alert fires, bug reproduced, patch and regression run ready; on-call approves, post-mortem already drafted.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis