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Jolly.
All-in-one AI-DLC Platform

Adaptive. Plug & play.Built for the team you already have.

Pick the tools, projects, and team you already work with — Jolly adapts to your shape, every module slots in independently, no migration required.

Drops into your stack
ConfluenceJiraAtlassianFigmaGitLabClaudeDiscord
Not just another tool

Wired into your project management — 100% data-driven, org-wide.

Every Lens, every gen, every score lives next to the work it judges. Specs, designs, code, scenarios — every artifact flows into one org-wide data plane your team can query, gate, and audit.

plug & playproject-management aware100% data-driven
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Invite-only · Built on Cloudflare + Claude

Zoom in · See it work

A live SpecLens review, scored end-to-end.

This is what one module looks like in motion — a sprint spec scored against your rubric, with dimensions, findings, and a gate decision in seconds.

  • Multi-dimension score with A–D grade per spec
  • Clarity, coverage, feasibility, acceptance, risk
  • Audit-ready activity feed and finding severity
SpecLens · LiveSP-128 · Checkout flow
Quality gate passed
Score
8.4
Grade
A
+0.4 vs prev
7-day trend
Clarity
78
Coverage
92
Feasibility
85
Acceptance
68
Risk
88
Recent activity
  • Acceptance criteria 4.2 verified
  • Risk profile updated · 3 mitigations
  • Cross-checked against ScopeLens R2.1
6 findings · 0 critical
What is AI-DLC?

One agent runtime for every phase of the lifecycle.

Discovery, spec, design, scenarios, build, ship — Jolly turns each step into a gradable agent job. No more disposable PoCs hiding in branches.

Phase 01

Plan & Spec

  • ScopeLens

    Multi-dimension radar score per requirement

  • SpecLens

    Quality gates, A–D grades, finding cards

Phase 02

Design & Align

  • DesignLens

    Agent reviewers for Figma frames

  • AlignmentLens

    Cross-checks design against spec

  • ScenarioLens

    Coverage suggestions before code

Phase 03

Build & Verify

  • Pipelines

    Multi-step agent + code orchestration

  • Testcase Gen

    Generated cases, exported to CSV

  • Symptom Gen

    Structured bug reports from raw logs

All powered by the same runtime · Cloudflare Workers + Claude Agent SDK
Capabilities · Delivery workflow

One pipeline. Six steps. Every story you ship.

Specs flow in, graded artifacts ship out — every step uses the same rubric, the same gate, and the same audit trail.

Delivery workflowOne pipeline. Six steps. Every story you ship.
Progress
3/6
Input
Confluence specJira storyFigma frameMR diff
01
Step 1 · Spec

Generate

Create BA & SA specs from approved sources — Confluence, Jira, or MR diff.

BA · SAv1
02
Step 2 · Gate

Quality Gate

Score every spec on the same rubric — only A-grade material moves forward.

8.4A
03
Step 3 · HITL

Approve

Human sign-off recorded on the feature, with reviewer and timestamp locked in.

Approved09:42
04
Step 4 · Tests

QA Gen

Generate test cases and automation-ready artifacts — exported as CSV or JSON.

12cases
CSV
05
Step 5 · Validate

QA Validate

QA reviews coverage against the spec, validates depth, and stamps the gate.

92%
06
Step 6 · Build

Dev

Engineering picks up with the same context every previous step has used.

feat/123→main
Output
ScoreGrade A–DQuality gate

Same flow, every story · 6 steps · 1 audit trail

Same rubric

Multi-dim scoring + A–D grade — identical math from spec review to symptom triage.

Same quality gate

Score ≥ 7 ships. Below — gate fails, with severity-rated findings the team can act on.

Same audit trail

Every job lands in R2 with chunks, output, and CI-ready payload. Re-runnable, comparable.

Integrations

Plugs into the tools your team already runs on.

Claude Agent SDK powers every job — reading Confluence specs, Figma frames, GitLab merge requests, and live library docs in the same run, then shipping results back to Discord. Jolly orchestrates; your stack stays.

Jolly
C7
01 / 06Agent runtime

Claude

Agent SDK·AI Gateway

Every Lens, every Gen, every pipeline runs on Claude — Sonnet 4.6 and Opus 4.7 via the Agent SDK, brokered through Cloudflare AI Gateway.

claudejolly
02 / 06Source of truth

Atlassian

Jira·Confluence

Pull specs from Confluence, sync stories from Jira — agents read both as live context.

atlassianjolly
03 / 06Design canvas

Figma

Files·Frames

DesignLens pulls frames straight from Figma — UX agents review without screenshots.

figmajolly
04 / 06Code surface

GitLab

Merge Requests·Pipelines

AlignmentLens reads MR diffs to verify the build matches the spec — no more drift.

gitlabjolly
05 / 06Live knowledge
C7

Context7

Library docs

Up-to-date docs piped to every agent — version-correct API guidance, every run.

context7jolly
06 / 06Notifications

Discord

Channels

Quality gates ping Discord with score, grade, and findings — failures @-mention the right people.

discordjolly
Bring your own keys · Encrypted at restSee the platform stack
Anatomy of a job

From submit to score in one durable pipeline.

Same path, every job. Hibernated WebSockets stream progress; R2 finalizes artifacts; gates fire automatically.

  1. Step 1Submit
  2. Step 2Queue
  3. Step 3Sandbox runner
  4. Step 4Claude agent
  5. Step 5R2 finalize
  6. Step 6WS broadcast
  7. Step 7Score & gate
11+

Durable Objects orchestrating per-org state

Hibernation

WebSockets — no idle CPU cost

30 days

PITR on D1 + DO SQLite

Architecture · Built on

Edge-native. Agent-native.

No GPU farm, no Kubernetes. Cloudflare Workers, Durable Objects, and Claude do the work — Jolly choreographs them.

01
Layer

UI

React 19 SSR shipped via TanStack Start, on the edge.

TanStack StartReact 19Tailwind v4shadcn/ui
02
Layer

Edge runtime

Workers handle every request — sub-50ms cold start, every region.

Cloudflare WorkersHonoDurable ObjectsWorkflowsQueues
03
Layer

Data plane

SQL, blob, and KV storage — colocated with the runtime.

D1R2KV
04
Layer

Agent plane

Claude does the cognitive work; AI Gateway brokers every call.

Claude Agent SDKAI GatewaySonnet 4.6Opus 4.7
05
Layer

Identity

Sessions, RBAC, organizations — Worker-native auth.

BetterAuth
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