What is ProxifAI?
An introduction to ProxifAI — one platform for the entire dev lifecycle
ProxifAI is a unified software development platform that combines project management, Git hosting, CI/CD, AI agents, and workflow automation into a single workspace. When everything shares one data model, AI finally has the context to do real work.
The Problem
Average engineering teams use 10+ disconnected tools — Jira, GitHub, Jenkins, Confluence, Datadog, and a growing list of AI copilots. Context is scattered across every seam. No single tool sees the full picture, so AI assistants can only operate in silos.
The Solution
ProxifAI unifies the entire development lifecycle:
- Plan — Projects, sprints, roadmaps, and issue tracking connected directly to your code
- Code — Native Git hosting with pull requests, code review, and branch management
- Build — CI/CD pipelines with YAML workflows, secrets, and approval gates
- AI — Knowledge base chat that can reference any issue, PR, doc, or file with
@mentions - Automate — Workflow engine that assigns tasks to AI agents in isolated containers
Core Capabilities
| Capability | What It Does | Replaces |
|---|---|---|
| Project Management | Projects, sprints, roadmaps, initiatives, teams | Jira, Linear, Asana |
| Git Forge | Repository hosting, PRs, code review, releases | GitHub, GitLab, Bitbucket |
| CI/CD | YAML pipelines, secrets, approval gates, runners | GitHub Actions, Jenkins |
| AI Chat & Knowledge Base | Multi-mode chat with full project context | ChatGPT, siloed copilots |
| Workflow Automation | Visual workflows with AI agent execution | n8n, manual CI glue |
| AI Gateway | Unified API for 20+ LLM models, zero markup | Direct provider APIs |
| Documents | Collaborative specs and documentation | Confluence, Notion |
| Inbox | Unified notifications with inline actions | Scattered notifications |
How It Works
ProxifAI organizes work into organizations and projects. Within each project, you create issues that connect to branches and pull requests in the built-in forge. AI agents run in isolated containers and can triage issues, write code, run tests, and open PRs — all with full context across your organization.
Your AI chat can reference a sprint, trace it to the PRs that implement it, read the CI output, and check the docs — all in one query. No copilot can do this across fragmented tools.
Who Is It For?
- Development teams that want to stop context-switching between 10 tools
- Engineering leaders who need visibility across planning, code, and delivery
- Teams building with AI that need agents with full organizational context
- Organizations that want one audit trail, one bill, and unified governance