Leonardo Cunha
Leonardo Cunha is an individual full-stack software engineer and solo developer, not a company. He builds B2B SaaS products, AI automation, API integrations, and personal open-source projects; his principal current project is KanBots, a local-first kanban desktop application that runs coding agents in parallel.
At a Glance
- Startups and small teams in the US and Latin America
- Individual developers and solo engineers
- Software engineering teams using AI coding agents
- Teams managing GitHub issues, Sentry errors, and collaborative delivery
- +1 more
AI Tools by Leonardo Cunha
(1)
KanBots
Kanban Board for Coding Agents
Discussions
No discussions yet
Be the first to start a discussion about Leonardo Cunha
Latest News
KanBots 1.2.0 release: nine new agent CLIs, multi-repo workspaces, multi-session chats, devtools branch previews, npx launcher, AI-drafted PRs, inline PR review comments, templates, sub-issues, saved views, and workspace cost rollups.
Latest repository commit fixed cloud-only rail/auth behavior and added local repository binding UI; the accompanying documentation lists 11 supported agent CLIs.
KanBots repository documentation refreshed with the 11-agent support matrix and a new workspace-tree/product screenshot.
KanBots 1.1.0 release.
Products & Services
Free, MIT-licensed, local-first desktop kanban for one developer. It stores board/run history in local SQLite, uses no telemetry, and dispatches coding agents in isolated Git worktrees.
Hosted multi-user/team edition layered on the same local agent runtime. It adds real-time presence, assignment notifications, cross-device sync, audit logs, SSO/SCIM, Slack notifications, organization cost rollups, collaborative editing, a managed GitHub App, REST API/PATs, and webhooks while agents remain on the user's hardware.
Leonardo's Three.js/React portfolio project, using ThreeJS, GSAP, styled-components, Redux, and Redux-Saga.
Market Position
Leonardo positions KanBots as a local-first, open-source, board-first alternative to ad-hoc chat tabs and managed agent platforms such as Devin, and as an open-source team-oriented alternative to Cursor's solo/in-editor workflow. Its differentiators are worktree isolation, parallel multi-agent dispatch, decision transparency, bring-your-own model/CLI credentials, and keeping code and agent execution on the user's machine.
Leadership
Founders
Leonardo Cunha
Full-stack software engineer from Porto Alegre, Brazil. His public profiles describe work with Node.js, React/Next.js, Python, SaaS MVPs, AI/LLM integrations, APIs, and cloud/database technologies; he publishes under the GitHub handle leodavinci1.
Founding Story
Public project materials frame KanBots as a response to ad-hoc ChatGPT/agent workflows: a board provides an accountable system of record for AI-assisted delivery, with each agent run isolated in its own Git worktree. The repository's initial commit is dated April 25, 2026, and the first tagged release (0.1.0) was published in May 2026.
Business Model
Revenue Model
Leonardo presents himself as a freelance software engineer providing project-based software development and AI/SaaS implementation for clients in the US and Latin America. KanBots OSS is free and MIT-licensed; KanBots Cloud is a per-seat subscription for teams, while the OSS project also accepts pay-what-you-can donations.
Pricing Tiers
Public Upwork freelancer profile rate for Leonardo Cunha.
Free forever, MIT-licensed desktop edition; the site says donations are optional.
Team plan shown on the official pricing/home page; enterprise features include audit log, SSO/SCIM, REST API/PATs, and outbound webhooks.
Target Markets
- Startups and small teams in the US and Latin America
- Individual developers and solo engineers
- Software engineering teams using AI coding agents
- Teams managing GitHub issues, Sentry errors, and collaborative delivery
- Organizations needing local code execution with cloud-based coordination
- Running multiple AI coding agents concurrently on feature, bug-fix, refactor, review, and spike tasks
- Autonomous feature development with persona-based planning, implementation, review, and testing
- QA loops for typecheck, tests, lint, builds, and end-to-end checks
- GitHub issue triage and Sentry error-group remediation
- Team coordination and auditability for AI-assisted software delivery
- Building SaaS MVPs, AI/LLM integrations, API integrations, and automation for startups and small teams