
Caesell
NEW — Coder Pro is live
Meet your new dev team. Coder, Tester, and PO agents that help you build, test, and manage sprints with surgical precision. Caesell builds the context so AI always knows your project.
No credit card required

Caesell is an AI-native project intelligence platform for software development teams. It builds persistent context about your project — your codebase, docs, business requirements, past sprints and team discussions — and uses it to write detailed development tasks, plan sprints and give AI coding agents like Claude, Codex and GitHub Copilot the context they need through MCP (Model Context Protocol). Caesell also has its own Coder and Tester agents that work autonomously and are integrated with Caesell workflows: they implement tasks, build features, fix bugs, and plan, run and write end-to-end tests.
Everything you need
Caesell connects every role on your team to AI agents that build context, write tasks, and keep sprints on track automatically.
Describe a feature in plain language and let AI agents decompose it into detailed, implementation-ready tickets with acceptance criteria.
AI analyzes team velocity, backlog priorities, and dependencies to propose balanced sprint plans that your team can review and adjust in seconds.
Caesell builds a living knowledge graph of your project. Every agent decision is informed by your codebase, docs, past sprints, and team discussions.
Connect external AI agents straight to your project context through the Model Context Protocol — Enable code agents to implement your tasks quickly.
ClaudeCodexGitHub CopilotOpenClaw
How it works
Give Caesell a high-level overview of your product, goals, and team structure. Plain language is enough.
Starting from a brief idea, our AI cross-references your input with the project’s context and history, creating tasks rich in detail from both business and technical perspectives.
Use our models or external agents through MCP to plan sprints, implement tasks, track progress, and deliver faster. Your team stays in control while AI handles the heavy lifting.
Meet the agents
Three specialized agents that collaborate with your team, each with deep expertise in their domain. New agents available soon.
Active
Acts as your Product Owner. Writes user stories, refines the backlog, prioritizes features by business value, and keeps the roadmap coherent across sprints.
BacklogRoadmapUser Stories
Active
Reads your codebase and generates implementation-ready tasks with file paths, function signatures, and code snippets. Developers get context, not guesswork.
Code AnalysisTasksContext
Active
Generates test plans, edge cases, and acceptance criteria automatically. Ensures every ticket shipped includes the coverage needed to catch regressions early.
Test PlansEdge CasesQA
Coming Soon
Reads your project’s full context and history to plan highly scalable, production-ready architectures and technical specs. Runs architecture reviews and an agentic chat that helps developers, POs, and PMs make the right calls.
ArchitectureTech SpecsAgentic Chat
Pricing
Team seats and a monthly token quota are included in every plan. PRO + Dedicated Instances adds usage-based agent instance costs at scale.
🎄 Christmas · 15% off
€33.15 €39
per month
Most Popular
🎄 Christmas · 15% off
€50.15 €59
per month
🎄 Christmas · 15% off
€58.65 €69
per month
€99
per month + agent instance costs
FAQ
Caesell connects external AI agents to your project context through MCP (Model Context Protocol). Agents such as Claude, Codex, GitHub Copilot and OpenClaw can read the tasks, requirements and codebase knowledge Caesell has built, so they implement work with the full picture instead of guessing.
You describe what needs to be done in plain language. The PO Agent cross-references it with your project's persistent context and your codebase, then writes detailed tasks with a business overview, technical refinement and acceptance criteria. Because it has access to the code, it adds code references such as relevant files and functions, so developers and coding agents know exactly where to work.
Caesell keeps a living knowledge graph of your project built from your codebase, docs, past sprints and team discussions. Every agent decision draws on it, so you don't have to re-explain your project to the AI each time you start a new task or session.
Caesell includes three AI agents. The PO Agent generates detailed tasks with a business overview, technical refinement and acceptance criteria; it also analyzes sprint progress and team velocity, plans sprints and breaks epics into deliverable tasks. The Coder Agent implements tasks and features and fixes bugs. The Tester Agent plans, runs and writes end-to-end (E2E) tests. An Architect Agent for architecture reviews and technical specs is coming soon.
Yes. The PO Agent analyzes sprint progress, team velocity, backlog priorities and dependencies to propose balanced sprint plans, and breaks epics into deliverable tasks that fit into a sprint. Your team reviews and adjusts the plan, so people stay in control while AI does the heavy lifting.
Caesell has four plans: Starter €39 per month, Plus €59 per month, Pro €69 per month, PRO + Dedicated Instances €99 per month plus usage-based agent instance costs. Every plan includes team seats and a monthly token quota. Christmas offer: 15% off + 10M additional token credits. Applies to the Starter, Plus and Pro plans.
Yes. Caesell offers a 14-day free trial, and no credit card is required to start.
Join the GenAI era with Caesell — plan, build, and ship with AI precision.