The next deliverable is the project is underway.

Asistentes JIRA

Grabaciones

Analista

Kanban IA

Base de Conocimiento

AgentWatch

Proyectos

Configuración

Agentes

Documentación

Proyectos

Herramientas

Administración

Usuario Demo

demo@logixsdigital.com

Cerrar sesión

Dashboard

MA-56

COMPLETED

Now let me create all files. Starting with the exception hierarchy:

Now add Mono.defer import to DupOrchestrator:

Now fix the integration test — remove the incorrectly designed test case:

All 45 tests pass. Let me now verify mvn compile explicitly (quality gate requirement) and then run checkstyle:

Zero checkstyle violations, build success. Let me update the todo and commit:

All quality gates are satisfied. Here's the summary:

MA-56 — Completado

Tokens Usados

5.1M

Input197

Output58.9K

Cache Read5.1M

Cache Write134.4K

Duración

18m 56s

1 queries completadas

Archivos Modificados

Modelo

Sonnet 4.6

claude-sonnet-4-6

Orquestación iniciada

1 agente(s) planificado(s)

Datos de tarea

Orquestador

Preparación

Prompt generadoComplejidad analiz...Tarea lanzadaCommit realizadoLoop undefined/un...Push al remoto

Now let me create all files. Starting with the exception hierarchy:

Now add Mono.defer import to DupOrchestrator:

Loop 1/?

Sin evaluación

From need to production.

ADA turns a business need into deployed code. Each phase includes automatic quality gates and complete traceability.

Autonomous execution, not just suggestions.

Agents working in parallel.

Integration with existing tools.

Not all AI agents are equal.

Most solve the coding. ADA solves the complete delivery.

Code tools solve only 20% of the problem.

ADA solves 100%. From idea to production, documented and validated.

Capability	Claude CodeAnthropic	DevinCognition AI	CursorAnysphere	AntigravityGoogle
Generate code from chat
Generate code from issues (Jira/Linear)				~
Specialized agents by business domain	~	~	~	~
Requirements / Discovery (ideas → user stories)	~	~	~
Design / Architecture (ADRs, diagrams)	~		~	~
Planning (task breakdown, estimation)	~		~
Multiple agents per SDLC phase
Scoring and consensus between agents	~
Test execution
Automated code review on PRs				~
Complete automatic documentation		~
CI/CD & Release		~
Real on-premise deployment			~	~
Zero code retention			~
Idea → production traceability	~	~
Multi-file refactoring

NATIVE~ PARTIAL (PLUGIN/CONFIG) NOT AVAILABLE

From user story to production merge. No steps skipped.

ADA Development picks up where the Analyst leaves off. It orchestrates specialized agents across every SDLC phase until the PR is closed with ≥95% quality.

STEP 01

Design and architecture.

The architect agent turns the story into ADRs, diagrams, and an implementation plan that respects your stack, conventions, and design system.

ADR · DIAGRAMS · DESIGN SYSTEM

STEP 02

Parallel implementation.

Multiple agents (frontend, backend, data, infra) work in parallel on separate branches, with scoring and consensus to resolve conflicts.

FRONT · BACK · DATA · INFRA

STEP 03

Tests, QA and code review.

Unit, integration, and E2E tests generated and executed. Automatic code review against your security and style rules before the merge.

TESTS · SCORING · REVIEW

STEP 04

Documentation and release.

Auto-generated technical documentation, release notes in your wiki, and continuous deployment respecting your quality gates and compliance policies.

DOCS · CI/CD · COMPLIANCE

Results that are measured.
Not promises told.

ADA directly impacts delivery speed and quality time freed for IT.

METRIC	BEFORE ADA	WITH ADA▪
Time to production	12-16 weeks	2-4 weeks
PR quality (first-pass)	45-60%	90%+
Cost per feature	Variable (consultancy)	40-60% lower
Documentation	Manual, incomplete	Automatic, complete
Delivery capacity	1x	3-5x
Compliance audit trail	Partial, manual	100% automatic

FOR BUSINESS

Time-to-market and scalability

60-80% time-to-market reduction
Scale delivery without expanding headcount
Measurable ROI from week 4
DORA, ENS, NIS2 compliance

FOR IT

Quality, context and freedom

PRs pre-validated at 90% quality
Business context in each task
Automatic tests and documentation
Time for architecture, not mechanics

ROI PER TASK

How long does your team take today vs with ADA.

Estimated time by task type. AI agent vs senior developer.

DISCOVERY

Requirements gathering

DEVELOPER16-40 h↓WITH ADA1-8 h

ANALYSIS

Process mapping

DEVELOPER40-80 h↓WITH ADA1-4 h

DOCS

Technical documentation

DEVELOPER1-3 h↓WITH ADA4-5 min

FULLSTACK

Fullstack implementation

DEVELOPER6-16 h↓WITH ADA10-12 min

DEVOPS

Infra configuration

DEVELOPER3-8 h↓WITH ADA8-9 min

An average developer takes hours to do what ADA delivers in minutes — ×61 faster on average, with quality ≥ 90% maintained.

A development team that never sleeps.

Five capabilities that set ADA apart: it doesn't generate code in a vacuum — it delivers it production-ready.

01 ARCHITECTURE

Design before you write.

Every feature starts with an ADR and a sequence diagram. No "refactor later": ADA detects technical debt before it's introduced and proposes justified alternatives.

Example

Detects that a new endpoint duplicates logic from another and proposes extracting a shared service, saving 4h of future refactoring.

02 CODE

Implements respecting your conventions.

Reads your repo, learns your naming, structure, and style conventions, and writes code that passes your linters without post-processing. No Frankenstein code.

Example

In a Next.js repo with feature folders, creates the module respecting the existing structure: co-located hooks, services, and tests.

03 CONSENSUS

Multi-agent scoring, not monologues.

Multiple agents propose solutions and evaluate each other with objective scoring (complexity, coverage, performance). Humans validate only when there's a tie.

Example

Three implementation proposals for a financial calculation: scoring picks the simplest one with the highest edge-case coverage.

04 QUALITY

Tests and review before the merge.

Unit, integration, and E2E tests generated from acceptance criteria. Automatic code review against OWASP, accessibility, and internal rules.

Example

Blocks the merge of a PR that introduces unparameterized inline SQL and proposes the fix using the repo's standard pattern.

05 TRACEABILITY

From idea to release, fully auditable.

Every commit, every decision, and every validation is linked back to the original user story. ENS, NIS2, and DORA compliance with automatic audit trail.

Example

Auditor requests traceability for a VAT calculation change: ADA shows the story, ADR, PR, tests, and release in a single view.

Capability 1 of 5

INTEGRATIONS · +25 TOOLS

Your current stack. Without touching anything.

ADA integrates with the tools your team already uses. Installation in minutes, not weeks.

DEEP INTEGRATION

Code and repositories

Context reading, automatic PRs, respect for repo conventions and branch management.

GitHubGitLabBitbucketAzure Repos

NATIVE

Project management

Tickets, epics and user stories. ADA enters from the backlog and exits with the task done.

JiraLinearAsanaConfluence+2 more

NATIVE

CI/CD and deployment

Automatic pipelines, pre-merge validation and continuous deploy respecting your quality gates.

GitHub ActionsJenkinsArgoCDGitLab CI

WEBHOOK + COMMANDS

Communication

Mention ADA in threads, launch tasks from Slack or Teams and receive contextual notifications.

SlackMicrosoft Teams

MULTI-CLOUD

Cloud and infrastructure

Deploy on any public cloud, on-premise or hybrid. Agnostic by design.

AWSAzureGCPOpenShift+3 more

API

Design and documentation

Extract Figma specs, generate ADRs, runbooks and release notes automatically in your wiki.

FigmaNotionConfluenceGitBook

AI MODELS · FRONTIER

Agnostic by design.

ADA works with the frontier models from every provider. Switch LLMs without reconfiguring your platform — you can even mix models by task and domain.

Anthropic

Claude

Opus 4.7 · Sonnet 4.6 · Haiku 4.5

CODEREASONINGLONG CONTEXT

OpenAI

GPT

GPT-5 · GPT-4o · o3

CODEMULTIMODALFUNCTION CALLING

Google

Gemini

2.5 Pro · 2.5 Flash

MULTIMODAL1M CONTEXT

The next deliverable is the project is underway.

MA-56

From need to production.

Autonomous execution, not just suggestions.

Agents working in parallel.

Integration with existing tools.

Not all AI agents are equal.

From user story to production merge. No steps skipped.

Design and architecture.

Parallel implementation.

Tests, QA and code review.

Documentation and release.

Results that are measured.Not promises told.

Time-to-market and scalability

Quality, context and freedom

How long does your team take today vs with ADA.

A development team that never sleeps.

Design before you write.

Implements respecting your conventions.

Multi-agent scoring, not monologues.

Tests and review before the merge.

From idea to release, fully auditable.

Your current stack. Without touching anything.

Code and repositories

Project management

CI/CD and deployment

Communication

Cloud and infrastructure

Design and documentation

Agnostic by design.

Results that are measured.
Not promises told.