Your AI coding agent should do more than write code

There's a gap in every AI coding tool on the market.

They write code. Some of them write it well. But the moment you need to file a ticket about what you just built, assign it to a teammate, check the project health, or deploy to staging — you leave the terminal, open a browser, and do it by hand.

That context switch is where productivity dies. Not in the code generation. In everything around it.

We built Fulcrum Code to close that gap.

One session, everything connected

Imagine finishing a debugging session and — without leaving your terminal — creating three tickets for the issues you found, assigning two to your colleague and one to an AI agent, setting priorities, updating the sprint board, and checking the project health report. All in natural language. All in the same conversation where you just read the code.

That's not a roadmap slide. That's what Fulcrum Code does today.

The agent connects to your project management tools, your CRM, your deployment pipelines, and your codebase intelligence — all through a protocol called MCP (Model Context Protocol). When you say "create a bug ticket for the login redirect issue and assign it to the team," the agent doesn't open a browser. It calls your project management system directly, creates the issue with the right type and priority, assigns it, and confirms — in under two seconds.

Your board updates. Your team gets notified. You never left the terminal.

AI teammates, not just AI tools

Here's something most coding tools don't consider: not every assignee on your board is human.

Modern teams have AI agents handling outbound calls, triaging support tickets, running code reviews, and managing data pipelines. When you assign a task to an AI agent, your project board should reflect that honestly — not pretend a human is doing the work.

Fulcrum Code treats AI agents as first-class team members. You can list your AI agents, assign them to tickets, track their workload separately from human teammates, and see a workload distribution that breaks down by person and by agent. The board shows exactly who's doing what — human or AI.

This matters for planning. If your AI agent is handling 40 tickets and your developer has 6, that's not a problem. But if your tool pretends they're both human users with the same capacity model, your sprint planning is fiction.

Choose your model. Keep your workflow.

Most AI tools lock you to one model. Switch providers and you lose your setup, your context, your workflow.

Fulcrum Code is model-agnostic. Today you can run DeepSeek V4 Pro with its million-token context window for deep codebase analysis, then switch to a faster model for quick edits — without reconfiguring anything. Your tools, your MCP connections, your memory, your skills — they all carry over.

One command switches the model. Everything else stays.

And because the agent routes through a multi-provider gateway, you're never locked to a single vendor. Pricing changes, outages, new model releases — you switch with a single command, not a migration project.

Ready to stop switching between tabs? Start your free trial and connect your first MCP server in under 5 minutes.

From terminal to API: agents that run themselves

There's a mode most people don't discover until they need it: fulcrum serve.

It turns Fulcrum Code into a local API server. No terminal UI, no human in the loop. Just HTTP endpoints that accept prompts and stream back results — tool calls, code changes, agent reasoning, everything.

Why does this matter? Because the most powerful use of an AI coding agent isn't sitting in front of it. It's deploying it.

Set up a code review agent that runs on every pull request. A security scanner that audits changes before they merge. A migration bot that updates 200 files across your monorepo while you sleep. A scheduled health check that runs your test suite, analyses failures, and files tickets for anything broken.

Each one is a fulcrum serve session driven by automation instead of a human. Same agent, same capabilities, same tools — different trigger.

Want to automate your code reviews and deployments? Download Fulcrum Code and run fulcrum serve — set up your first automated agent in minutes.

Project management without the browser

We built Fulcrum CRM with a full project management module — boards, sprints, backlogs, issue tracking, retrospectives, AI-powered risk scoring. It's a complete Jira alternative embedded in your CRM.

But here's the difference: every feature is accessible from the command line through MCP tools.

Create projects. File issues. Transition statuses. Run sprint burndowns. Check cycle time. See which team members are overloaded and which AI agents are idle. Add comments, tag people, link issues to CRM prospects and deals.

All from the terminal. All in natural language. All without opening a browser tab.

The PM module works with any MCP-compatible agent — not just Fulcrum Code. If you use Claude Code or OpenAI Codex, you can connect the same MCP server and manage your Fulcrum CRM projects from those tools too. The protocol is open. The tools are interoperable.

The operator, not just the coder

The AI coding agent market is converging on the same feature set: autocomplete, chat, file editing, terminal access. Everyone has it. The differences are marginal.

The next frontier isn't writing better code. It's operating better — across code, projects, infrastructure, and teams. An agent that understands your codebase, manages your tickets, coordinates your AI teammates, deploys your changes, and reports on project health — from a single conversation.

That's what we're building. That's Fulcrum Code.

Start building today

Fulcrum Code is available now with plans starting at $33/month. Every plan includes all 36 built-in tools, MCP server connections, sub-agents, voice input, and full access to fulcrum serve.

Start your free trial →

Already using Claude Code or Codex? Fulcrum CRM's MCP server works with any MCP-compatible agent. See how it works →

Ready to try it? Download Fulcrum Code → — available for macOS, Linux, and Windows.