RDNLabs
Production-ready · 6 platforms · 8 providers · 78 models

Every feature,
earning its keep.

SDLC orchestration with multi-provider support, quality-gated iterations, browser-driven QA, per-provider cost tracking, and a web control plane, across six feature-parity platforms.

01 · ORCHESTRATION

7-phase SDLC pipeline

Analyst → PM → Developers → Integration → QA → Feedback → Summary. Each phase is a separate agent role with its own model, max-tokens budget, and prompt. Iterates automatically until the score clears the threshold.

  • Parallel Developers (up to 5 by default) with strict file-assignment enforcement
  • Integration Architect verifies cross-file consistency before QA
  • Up to 3 QA agents review ALL files independently for thorough coverage
  • Feedback Coordinator deduplicates issues across QA agents and scores quality

02 · MULTI-PROVIDER

Mix every major LLM

Assign Anthropic Claude, OpenAI GPT, Google Gemini, or DeepSeek to each role independently on every platform, plus xAI, Meta, Kimi, and Qwen on mobile. Every provider streams responses live and reports per-call token usage and cost back into the dashboard.

  • Anthropic native SDK · Claude family (14 models)
  • OpenAI SDK · GPT family (22 models)
  • Google REST · Gemini family (9 models)
  • DeepSeek OpenAI-compatible · flash + v4-pro (2 models)
  • Mobile adds xAI Grok (5), Meta Muse (5), Kimi (4), and Qwen (17)

03 · TESTING

Visual & Interactive QA

Three configurable QA modes that build on each other. The deepest mode hands QA agents a real browser with 16 tools. They navigate, click, type, evaluate JS, and write structured test reports.

  • code mode, multi-agent independent review of every generated file
  • visual mode, adds desktop (1280×720) and mobile (375×667) screenshot capture
  • interactive mode, 16-tool browser automation with ACTION/VERIFY/COMPARE/REPORT protocol
  • Auto-failure detection for failed interactions and missing test reports

04 · QUALITY GATE

Weighted scoring with capping

A weighted average across critical (50%) / major (20%) / minor (10%) issues and acceptance criteria (20%), with score capping that prevents inflated scores when critical issues remain.

  • 1 critical issue caps max score at 0.45
  • 3+ major issues caps max score at 0.65
  • Acceptance criteria pass/fail ratio feeds into the score directly
  • Mobile variant uses a 5-dimension geometric-mean scorecard instead

05 · OBSERVABILITY

Per-provider cost tracking

Real-time token usage and cost breakdown by provider and role. Track API calls, input/output tokens, cache reads, and per-iteration cost separately for each LLM. Hard cost cap stops the run when budget is reached.

  • Per-provider $ rollup with % share
  • Per-role token attribution
  • Cache hit rate visibility
  • --max-cost CLI flag for hard budget cap

06 · CONTROL

Interactive check-ins

Between iterations the orchestrator pauses, surfaces the current score / critical issues / total cost, and lets the operator accept early or continue iterating. Configurable check-in frequency.

  • Score bar + issue counts + cost dashboard
  • Accept-early or continue-iterating decision per check-in
  • Configurable check-in frequency (every N iterations)
  • Graceful Ctrl+C cancels in-flight API calls mid-stream

QA In Depth

Three modes, each building on the previous.

Configurable per project. Code is fast and cheap. Visual catches layout regressions. Interactive drives the app like a user.

Code

01

Default, fastest

  • →Multi-agent independent review of ALL generated files
  • →Cross-file integration checks (CSS / HTML selectors, JS / HTML IDs, imports)
  • →Severity-tagged issues (critical, major, minor)
  • →Acceptance criteria evaluation against requirements

Visual

02

Code + screenshots

  • →Launches headless browser via Playwright (Node / Python / .NET) or chromedp (Go)
  • →Captures screenshots at configurable viewports (desktop 1280×720, mobile 375×667)
  • →Configurable wait strategy: networkidle / load / domcontentloaded
  • →Multi-modal QA prompts include screenshots for layout & alignment review

Interactive

03

Full browser-driven testing

  • →Turn-based tool use with 16 browser tools (navigate, click, type, evaluate, ...)
  • →Mandatory ACTION / VERIFY / COMPARE / REPORT testing protocol
  • →Auto-failure detection: failed interactions, missing test reports, suspicious patterns
  • →Max 20 turns per agent with tool-use tracking

Interactive Mode · 16 Browser Tools

interactive-qa.tools.json● 16 tools
navigate
Navigate to a URL
screenshot
Capture current page state
get_page_info
URL, title, viewport
click
Click an element
type
Type into an input
select
Select dropdown option
hover
Hover over element
get_text
Get element text
get_value
Get input value
get_attribute
Get element attribute
is_visible
Check visibility
count_elements
Count matches
get_console_logs
Get browser console
evaluate
Run JS in page
wait_for
Wait for element
report_test
Record test result

SDLC Mode · CLI

Same flags. Six platforms.

swarm · multi-platform run

# Node.js

$ node swarm.js --mode sdlc --config ./swarm-config.json --threshold 0.8

# Python

$ python swarm.py --mode sdlc --config ./swarm-config.json --threshold 0.8

# Go

$ ./swarm -mode sdlc -config ./swarm-config.json -threshold 0.8

# .NET

$ dotnet run -- --mode sdlc --config ./swarm-config.json --threshold 0.8

# Web (Docker)

$ docker compose up --build  # http://localhost:3000

# Mobile (Android, Kotlin / Jetpack Compose)

$ ./gradlew :app:installDevProd  # adb install + launch on-device

# Key SDLC options

--mode sdlc · enable pipeline

--config <path> · role settings

--threshold <n> · 0.0 – 1.0 (default 0.8)

--max-iterations · default 10

--max-cost <n> · hard $ budget cap

--requirements <path> · input doc

Web Control Plane

A browser-based dashboard.

Next.js 16 + React 19 with SSE-driven live dashboards, run history with full replay, conversational requirements builder, and an integrated output file browser with ZIP downloads. OIDC auth via Rdn.Identity.

Chat Builder

Conversational requirements

Chat-with-analyst flow refines requirements interactively using the Analyst role's configured model, then drops the generated requirements.md into the runner.

Live Dashboard

SSE-streamed run UI

Animated spinners per phase, per-developer and per-QA progress rows, live token/cost meters, score bar, check-in modal, and event replay on reconnect.

Output Browser

Files · preview · zip

File tree of generated code and docs, syntax-highlighted source viewer, sandboxed iframe HTML preview, and ZIP download for the whole output or any archived run.

Mobile · New

All of this, running on your phone.

The Android client adds two roles (Visual QA + Test Author), a five-dimension Quality Scorecard, on-device key vault, and a bundled benchmark template suite. Same pipeline. Zero servers.

Tour the Mobile App→