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Business Requirement Agent
Turns your goals and target users into comprehensive, structured requirements documentation, eliminating ambiguity before a single line of code is written.
AI Powered PDLC & SDLC
AI code generation,powered by a team of specialist agents
Most AI coding tools give you one chatbot that tries to do everything. We give you an entire product development team, with each agent trained to excel at one part of the process, working together from idea to shipped code.
From idea to production code, with an AI team, not just an AI chatbot. Our platform routes every request through specialised AI agents for business requirements, architecture, specs, planning, database design, and code generation, so nothing gets lost between idea and implementation.
12 specialist agents
- 01Business Requirement Agent
- 02Architecture Agent
- 03Technical Specification Agent
- 04Feature Breakdown Agent
- 05Project Planning Agent
- 06Code Generation Agent
- 07Database Agent
- 08QA Automation Agent
- 09Peer Review Agent
- 10Documentation Agent
- 11Deployment Agent
- 12Production Release Agent
12 specialist agents
12 specialised AI agents, one workflow
Every project moves through purpose built agents instead of a single generic assistant. Each agent owns its phase and hands off to the next, just like a real product team.
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Architecture Agent
Designs system architecture and technical patterns suited to your scale, stack, and nonfunctional requirements, from microservices to monoliths.
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Technical Specification Agent
Creates detailed, developer ready technical specs with API contracts, data models, and interface definitions that engineering can act on immediately.
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Feature Breakdown Agent
Splits complex features into granular, estimable tasks with clear acceptance criteria, ready for sprint planning or backlog grooming.
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Project Planning Agent
Generates realistic project plans, timelines, dependency maps, and risk registers, so you start every sprint with clarity, not guesswork.
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Code Generation Agent
Writes production ready, idiomatic code that follows your team's conventions, not generic boilerplate that needs to be thrown away.
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Database Agent
Designs schemas, generates optimised queries, handles migrations, and suggests indexing strategies for maximum performance at scale.
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QA Automation Agent
Generates comprehensive test suites (unit, integration, and end to end), ensuring coverage from the moment code is written.
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Peer Review Agent
Performs automated code reviews against your standards, flagging security issues, antipatterns, and maintainability concerns before human review.
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Documentation Agent
Auto generates inline docs, API references, README files, and onboarding guides, keeping documentation in sync with the code at all times.
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Deployment Agent
Prepares CI/CD pipelines, Dockerfiles, infrastructure as code templates, and deployment runbooks, so shipping to production is repeatable and safe.
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Production Release Agent
Monitors the deployment process, manages feature flags, coordinates rollouts to production buckets, and auto generates release notes.
No vendor lock in
Bring your own AI model
Connect your preferred AI provider and model through a central configuration panel. Switching takes seconds, not sprints. XpediOo supports all leading providers out of the box.
Every agent in the pipeline can be configured to use a different model. Run your heavyweight architecture decisions on Claude while keeping code generation on GPT-4o for cost efficiency.
Supported providers
- OpenAI GPT-4o
- Anthropic Claude
- Google Gemini
- Meta Llama
- DeepSeek
- Custom / Self Hosted
Side by side intelligence
Multi Model Comparison
Unsure which model will give the best result for a specific task? Turn on Multi Model Comparison to run the same request across multiple AI models simultaneously and review their outputs side by side.
Multi Model Comparison removes the guesswork from model selection and lets your team make evidence based decisions rather than just default to whichever model is trendiest.
Key capabilities
- Run one prompt across 2–5 models in parallel
- Compare code quality, style, and completeness at a glance
- Select the winning output and continue the workflow
- Save model preference per agent type for future runs
- Ideal for high stakes decisions like architecture or security review
Collective intelligence
Multi Agent Swarm Mode
For complex problems, one AI perspective isn't enough. Swarm Mode deploys multiple specialised agents to work on the same task simultaneously, each contributing its unique strengths, and then synthesises their outputs into a single, superior result.
Swarm Mode is particularly powerful for greenfield architecture, security critical components, and any problem where a single point of view could miss something important. Think of it as your AI design review, at machine speed.
Key capabilities
- Parallel agent execution on the same request
- Each agent specialises in a different dimension (security, performance, UX, scalability)
- Outputs are merged and scored by a coordinator agent
- Conflicts are surfaced with rationale; you decide the final direction
- Dramatically reduces blind spots in complex architectural decisions
Codebase aware generation
Semantic Code Search: intent aware
Generated code that feels foreign to your codebase creates technical debt before it's even merged. Semantic Code Search analyses the patterns, naming conventions, and architectural decisions already present in your repository, so every new line of generated code looks and feels like it was written by your own team.
The result: generated code that passes peer review faster, requires fewer edits, and integrates cleanly into your existing architecture, without the 'AI smell' that makes reviewers reach for the delete key.
Key capabilities
- Reads existing files to extract your team's coding conventions
- Matches variable naming, function structure, and module patterns
- Detects and reuses existing utilities instead of generating duplicates
- Surfaces related existing code when generating new features
- Works across polyglot codebases: TypeScript, Python, Go, Java, and more
Conversational refinement
Vibe Code: iterate without losing control
Every agent includes Vibe Code mode, a fast, conversational interface for refining generated output in plain language. Describe what you want changed and the AI refines the existing code instead of starting over.
Every Vibe Code iteration is saved as a numbered version. You can branch from any point, roll back to an earlier state, and experiment boldly, knowing you can always recover your last stable output. Sessions automatically inherit your project's Semantic Code Search context, so refinements stay consistent with your codebase.
Key capabilities
- “Add error handling”wraps every function with appropriate try/catch logic
- “Make it more modern”refactors to latest language idioms and patterns
- “Rewrite this with hooks”converts class components to functional patterns
- “Optimise for performance”applies caching, memoisation, and lazy loading
- “Add JSDoc comments”documents every function without changing behaviour
Get started
Ship faster. Ship smarter.
See how XpediOo's AI powered PDLC and SDLC platform can transform your product development velocity, from first requirement to production release.