The next deliverable is the project is underway.
Demo: ADA panel managing a completed ticket with agent, test and deployment traceability.
From need to production.
ADA turns a business need into deployed code. Each phase includes automatic quality gates and complete traceability.
Agents working in parallel.
Integration with existing tools.
Not all AI agents are equal.
Most solve the coding. ADA solves the complete delivery.
20%
Code tools solve only 20% of the problem.
100%
ADA solves 100%. From idea to production, documented and validated.
Capability | ADALEADER Logixs Digital | Claude CodeAnthropic | DevinCognition AI | CursorAnysphere | AntigravityGoogle |
|---|---|---|---|---|---|
| Generate code from chat | Yes | Yes | Yes | Yes | Yes |
| Generate code from issues (Jira/Linear) | Yes | Yes | Yes | Yes | ~Partial |
| Specialized agents by business domain | Yes | ~Partial | ~Partial | ~Partial | ~Partial |
| Requirements / Discovery (ideas → user stories) | Yes | ~Partial | ~Partial | ~Partial | No |
| Design / Architecture (ADRs, diagrams) | Yes | ~Partial | No | ~Partial | ~Partial |
| Planning (task breakdown, estimation) | Yes | ~Partial | Yes | ~Partial | Yes |
| Multiple agents per SDLC phase | Yes | Yes | Yes | Yes | Yes |
| Scoring and consensus between agents | Yes | ~Partial | No | No | No |
| Test execution | Yes | Yes | Yes | Yes | Yes |
| Automated code review on PRs | Yes | Yes | Yes | Yes | ~Partial |
| Complete automatic documentation | Yes | Yes | ~Partial | Yes | No |
| CI/CD & Release | Yes | Yes | ~Partial | Yes | Yes |
| Real on-premise deployment | Yes | No | No | ~Partial | ~Partial |
| Zero code retention | Yes | Yes | Yes | ~Partial | No |
| Idea → production traceability | Yes | ~Partial | ~Partial | No | No |
| Multi-file refactoring | Yes | Yes | No | Yes | Yes |
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.
Requirements gathering
DEVELOPER16-40 h↓WITH ADA1-8 h
Process mapping
DEVELOPER40-80 h↓WITH ADA1-4 h
Technical documentation
DEVELOPER1-3 h↓WITH ADA4-5 min
Fullstack implementation
DEVELOPER6-16 h↓WITH ADA10-12 min
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.
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
Gemini
2.5 Pro · 2.5 Flash
MULTIMODAL1M CONTEXT
Meta
Llama
3.3 70B · 3.1 405B
OPEN WEIGHTSON-PREMISE
Mistral AI
Mistral Large & Codestral
Large 2 · Codestral 25
CODE-NATIVEEU-HOSTED
Microsoft
Azure OpenAI
GPT-5 · GPT-4o via Azure
ENTERPRISE SLAEU REGION