We believe software engineering should be a victory, not a guessing game. Right now, your team is wasting endless hours rewriting code because Agile promises speed but delivers a total disaster of rework. Agile Agent runs exclusively on your infrastructure, giving you total codebase dominance without a single line of code leaving your network.
"I watched enterprise teams waste millions building the wrong features. So I built the AI agent to stop it."

The pain of endless sprint replanning weighs tons. The discipline of upfront AI-powered design weighs ounces.
Scope creep is a symptom of weak planning. Stop accepting failure as part of the processβone of the top drivers of cost overruns.
You let developers leave and take the architectural knowledge with them. It's a huge mistake. We fix that permanently.
Story points don't matter if the software is garbage. We measure success by absolute quality and zero rework.
You don't design systems anymore β you assemble features. The result: fragmented architectures and massive technical debt.
We believe in empowering engineers to be architects again. When you use Agile Agent, you aren't just buying a tool; you are buying your weekends back, your reputation, and the absolute certainty that your system won't crash.
AI-assisted requirement analysis pulls in Jira tickets, linked stories, and Confluence specs to surface contradictions and gaps before a single line of code is written.
Search across GitLab repos, read files, and understand existing architecture. The agent knows what's already built so you don't rebuild it differently.
Architecture decisions, design rationale, and requirement traceability are captured in the conversation β not bolted on after 40 sprints.
Works with ChatGPT, Azure OpenAI, Gemini, and more. Use your company's preferred AI provider β your data stays on your infrastructure.
Runs entirely on your infrastructure as a single binary. No data leaves your network. No cloud dependency. Your code stays yours.
WebSocket-powered streaming of thinking, tool calls, and responses. Teams debate requirements together with the agent as a facilitator.
Connects to your existing stack
What's your defect rate?
What's your documentation coverage?
How long to onboard a new engineer?
What's your incident frequency?
If your defect rate is high and onboarding takes months, you are losing. It's time to upgrade to a winning model.
We work closely with elite teams ready to eliminate rework permanently.
π‘ Token costs are passed through at provider rates. You bring your own API key β we don't mark up LLM usage.
Agile Agent is distributed as a single binary. You run it on your server (bare metal, VM, Docker, or Kubernetes). All data β conversations, tool calls, and configurations β stays on your infrastructure. No cloud dependency.
Your code and project data are processed entirely on your infrastructure. The only external call is to your chosen LLM provider (e.g., Azure OpenAI) and only when you explicitly ask the agent a question. You control which LLM endpoint is used.
Any OpenAI-compatible API: ChatGPT, Azure OpenAI, Google Gemini, Anthropic Claude, Ollama (local), and more. You bring your own API key β we support any provider that follows the OpenAI chat completions format.
Token costs are passed through at your LLM provider's rates. We add zero markup. You use your own API key, so you pay your provider directly. Typical cost: β¬0.01ββ¬0.05 per conversation depending on context length and model.
Yes. The Starter plan includes a 14-day free trial with full access to all features. No credit card required. For Enterprise evaluations, we offer a guided pilot program β contact us to set it up.
Copilot and Cursor help you write code faster. Agile Agent helps you write the right code. It connects to Jira, Confluence, and GitLab to understand requirements in full context β so you build what the customer actually needs, not just what autocomplete suggests.

I'm the senior engineer behind DB Navigator's middleware β Europe's largest e-commerce platform after Amazon, handling 500 million+ requests per day across 11 microservices. Before that, I helped RTL+ (Germany's Netflix) migrate to GraphQL Federation.
After 10+ years of building high-scale systems, I realized the hardest engineering problem is never the code β it's always the requirements. 50% of user stories at our organization were incorrectly specified. "Closed" tickets came back as bugs. Developers wasted weeks building the wrong thing.
So I built Agile Agent: an AI workspace that connects Jira, Confluence, and GitLab to help teams define requirements so precisely they only need to implement once.
The cost of waiting is another failed sprint. Book a private strategy call with the founder today and see how we will transform your engineering floor.
Or email directly: contact@getagileagent.com