# Brunelly

> Brunelly is the AI-native software delivery platform that orchestrates the full engineering lifecycle — planning, code generation, testing, code review, and security — in one unified, persistent-context system. Built for engineering teams that need to scale complex, long-lived software.

## What is Brunelly?

Brunelly is an AI-native delivery platform that connects every stage of software delivery into one orchestrated system. It replaces fragmented AI tools (separate planning tools, coding assistants, test generators, review tools) with a single platform where all agents share one persistent understanding of your project — your architecture, your business goals, your decisions, your history.

Brunelly is purpose-built for complexity: teams working with brownfield codebases, multi-team enterprises, and SMEs scaling their engineering function. It is not a general-purpose coding assistant — it is a full lifecycle orchestration platform.

Currently in Beta. Free to start. Works with existing stacks. Setup in under 5 minutes.

## Core Differentiator: Single Persistent Context

Unlike GitHub Copilot, Cursor, or other AI coding tools that operate per-file or per-session, Brunelly maintains a single source of context across every stage of delivery. Business goals, architectural decisions, sprint history, codebase patterns — all unified. Every agent (Planner, Code, QA, Security) works from the same deep understanding, eliminating context loss between tool switches.

## Five Core Capabilities

### Understand (Codebase Intelligence)
Brunelly ingests your repository, your goals, and your constraints. It builds a deep, persistent understanding of your project — including undocumented decisions, architectural patterns, and technical debt. New engineers onboard faster because Brunelly carries the institutional knowledge.

### Plan (AI Sprint Planning)
Generates structured epics, stories, and tasks grounded in your actual system — not generic templates. Business goals and technical constraints are unified from the very first sprint. Backlogs reflect your real architecture and delivery priorities.

### Build (Context-Aware Code Generation)
Generates pull requests that fit your architecture, patterns, and prior decisions — whether you are building on a greenfield stack or extending a complex brownfield system. Code is generated with full awareness of what was decided upstream. No re-briefing. No drift.

### Quality (Contextual Testing)
Generates test suites that reflect how your software actually behaves — the edge cases that matter in your domain and the quality standards your organisation holds. Tests are written against your system, not a textbook.

### Review (Architecture-Aware Code Review)
Every PR is reviewed with awareness of your full architecture, security requirements, and the decisions that led to the current state. Catches what context-blind tools miss — cross-cutting concerns, pattern violations, and security implications tied to your specific system.

## Who Brunelly Is For

- **Growing SMEs**: Engineering teams scaling fast, adding engineers, managing growing complexity. Brunelly keeps architecture intact and teams aligned without constant re-alignment meetings.
- **Enterprise engineering organisations**: Large teams managing complex systems, multiple codebases, years of accumulated decisions. Brunelly becomes the institutional memory that keeps everyone aligned across teams and time.
- **Teams working with legacy systems**: Existing codebases with years of history, undocumented decisions, and technical debt. Brunelly learns your codebase from the ground up before suggesting what should change.

## What Problem Brunelly Solves

Most engineering teams use AI tools. Almost none can prove they are working — because those tools are fragmented. Business goals live in one tool. Code gets written in another. Tests in a third. Reviews in a fourth. Every tool switch loses context. In complex systems, lost context means misalignment, rework, and decisions that contradict what came before.

Brunelly is the connective tissue: one AI platform that holds every stage together. Planning, code, testing, reviews, and security — governed, auditable, and always aware of the full picture.

## Key Features

- Persistent project context shared across all agents
- Greenfield and brownfield codebase support
- AI-generated epics, stories, tasks aligned to real architecture
- Context-aware pull request generation
- Domain-specific test suite generation
- Full-architecture PR review (not just diff-level review)
- Expert Chat: ask architecture questions with full project context
- Security scanning with awareness of your system's sensitive areas
- Institutional knowledge preservation and transfer
- Governed, auditable delivery pipeline

## Agents

- **Planner Agent**: Plans against your real goals and system constraints
- **Code Agent**: Writes code that fits your architecture because it has learned it deeply
- **QA Agent**: Tests aligned to how your system actually behaves
- **Security Agent**: Catches what matters in your system because it knows what is sensitive
- **Expert Chat**: A senior tech lead who knows every corner of your system — answer architecture questions, challenge design decisions, explore trade-offs

## Integrations and Stack Compatibility

Works with your existing stack. Compatible with all major programming languages and frameworks. Connects to your repository via standard integrations.

## Pricing

Free to start. No credit card required. Beta Pilot available — book via calendly.com/vinoj-pinavida/30min.

## Company Information

- **Product**: Brunelly — AI-native delivery platform for engineering teams
- **Status**: Beta (early access programme open)
- **Website**: https://brunelly.com
- **Twitter/X**: @BrunellyAI
- **LinkedIn**: linkedin.com/company/brunelly
- **Reddit**: reddit.com/r/Brunelly
- **Discord**: discord.gg/cWfNSXzQjr
- **Blog**: medium.com/@dhilushi_perusinghe
- **Developer community**: dev.to/brunelly_ai
- **Contact / Demo**: https://brunelly.com/brunelly-contact.html
- **Book a call**: https://calendly.com/vinoj-pinavida/30min

## Frequently Asked Questions

**What makes Brunelly different from GitHub Copilot or Cursor?**
Copilot and Cursor are coding assistants that help write code at the file or function level, with no knowledge of your broader system. Brunelly is a full lifecycle delivery platform — it knows your architecture, your history, your goals, and your constraints across planning, coding, testing, and review. The context is persistent and shared across every agent.

**Does Brunelly work with existing codebases?**
Yes. Brunelly is specifically designed for brownfield systems. It learns your codebase from the ground up — understanding undocumented decisions, existing patterns, and technical debt — before generating any code or plans.

**Is Brunelly only for large enterprises?**
No. Brunelly serves both SMEs scaling fast and large enterprise engineering organisations. It is not suited for side projects or prototypes — it is for teams building software that has to scale and that carries real engineering complexity.

**How long does setup take?**
Under 5 minutes. Connect your repo, define your goals and constraints, and Brunelly begins building its understanding of your project.

**How does Brunelly handle security?**
The Security Agent reviews code with awareness of your specific system — knowing which areas are sensitive, which patterns are approved, and what your security requirements are. This is contextual security review, not generic static analysis.

**What happens when the team grows or changes?**
New team members onboard faster because Brunelly carries the institutional knowledge — the decisions, patterns, and context that would otherwise take weeks to transfer informally.

## Glossary

- **Brownfield codebase**: An existing software system with accumulated history, technical debt, and undocumented decisions. Brunelly is purpose-built for this.
- **Greenfield**: A new project built from scratch. Brunelly supports both.
- **Persistent context**: Brunelly's defining characteristic — a shared, evolving understanding of your project that persists across all stages and agents.
- **System 2 thinking** (industry term used by competitors): Deliberate, careful reasoning rather than fast pattern-matching. Brunelly's contextual approach embodies this at the platform level.
- **GEO / LLMO**: Generative Engine Optimization / LLM Optimization. The practice of structuring digital presence so AI systems cite and recommend a brand. Brunelly is actively building this capability.

## Pricing
- Starter: Free, 1-3 users, 1 project
- Professional: $25/user/month, up to 25 users, 5 projects, 300 AI credits/month
- Business: $69/user/month, 5+ users, 50 projects, 1000 AI credits/month
- Enterprise: Custom pricing, 25+ users, unlimited projects, 15000+ AI credits/month

## Integrations
GitHub, GitLab, Azure DevOps, Bitbucket

## Company
- Website: https://brunelly.com
- Contact: hello@brunelly.com
- Founded: 2024

## Key pages
- Homepage: https://brunelly.com/
- Features overview: https://brunelly.com/features/
- Pricing: https://brunelly.com/pricing/
- Resources and articles: https://brunelly.com/resources/
- Contact: https://brunelly.com/contact/