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Agentic task execution
An AI agent loop designed for structured coding tasks, tool-aware execution, and workflow control across analysis, planning, and completion steps.
Desktop AI Coding Workspace
Code intelligence, project analysis, and agent workflows — unified.
MantisCoder is a desktop-first coding environment built to inspect large codebases, coordinate AI-assisted development, and turn project structure into actionable context. Analysis, prompts, tools, graph exploration, and workspace control — in one focused interface.
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Integrated tools across browser, terminal, prompts & rules
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Graph views — dependency, radial & project relations
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Local, desktop-first engineering workflows
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MantisCoder researched advanced design principles by itself, explored the internet, and created this site — no template, no manual styling. Watch the full creative process from research to pixel-perfect result.
Autonomous research
Design principles
Self-generated
Zero templates
01Overview
Built for modern code investigation and controlled execution.
MantisCoder brings together a desktop UI, AI task routing, local project analysis, browser automation, terminal integration, and structured prompt management. The goal is simple: give engineers a sharper environment for understanding systems before they change them.
02Features
Engineered around practical workflows.
Inspect the project, enrich it with context, run tools safely, and keep AI interactions grounded in the real workspace.
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Prompt & rule management
System prompts and task rules live in the product surface, shaping assistant behavior and keeping outputs aligned with project constraints.
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Workspace analysis
Tree-based analysis, graph generation, and project intelligence pipelines reveal dependencies, architecture signals, and hidden relationships.
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Integrated tool access
Browser automation, terminal execution, and MCP-oriented tooling let the environment move beyond passive chat and act on the working system.
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Project registry & context flow
Project-aware APIs, settings management, embeddings, and shared context keep operations connected to the right workspace and task history.
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Desktop-first delivery
Built with Go and a native desktop shell, MantisCoder is positioned for local, fast, and controlled engineering workflows — not browser-only experiments.
03Workflow
A disciplined path from discovery to action.
Inspect, analyze, direct the agent, and review results through visual and operational feedback.
1 Step 01
Load the project
Register a workspace, connect the project root, and establish the local context the agent will use.
2 Step 02
Generate context
Use code analysis and graph views to understand structural relations before deciding.
3 Step 03
Run guided tasks
Execute AI-driven workflows with prompts, rules, tools, and project-aware boundaries in place.
4 Step 04
Review & iterate
Compare outputs, inspect logs and views, refine instructions, and continue with better context on each pass.
04Showcase
A surface built for operational clarity.
The visual surface highlights the operational parts of MantisCoder — prompt shaping, rule control, graph inspection, dependency analysis, and tool-centric flow.
Prompts
Prompt-centric workflows
Shape AI behavior with explicit prompt control and keep responses aligned with task goals.
Rules
Rule-driven execution
Define operating boundaries and repeatable guidance for safer, more disciplined sessions.
Dependency
Dependency analysis
Inspect project relationships and identify structural hotspots through visual dependency mapping.
Graphs
Radial graph exploration
Navigate architecture from a graph-first perspective when system shape matters more than raw files.
Browser
Built-in browser
Drive the web directly from the workspace with browser automation and live inspection.
Models
Configurable model settings
Adjust model-facing settings inside the product rather than hiding them outside the workflow.
Tools
Operational tool surface
Bring browser actions, terminal execution, and workspace utilities into the same interface.
05Gallery
Every surface, one workspace.
A closer look at the operational views inside MantisCoder — task control, bug tracking, testing, connectors, and the watching modes that keep agent work in check.
Bug Manager
Track, triage, and close issues from a dedicated surface — priorities, statuses, and reproduction context stay visible while you fix them.
Connector Services
Configure the connectors that link MantisCoder to browsers, terminals, and external services — one place to manage every integration bridge.
Kanban Board
Visualize the full task pipeline on a kanban board — move work across stages and keep development flow clearly in view.
Relax, Watcher & Coder Modes
Switch between focused agent modes — relax, watcher, and coder — to tune how deeply MantisCoder engages with your workspace.
Search, Files, Tasks & Bug Tests
Search across files, jump between tasks, and run targeted bug tests from one centralized operations view.
Task Manager
Plan, schedule, and monitor coding tasks with a structured task manager that keeps agent work organized and trackable.
Test Lab
Run and inspect tests in a dedicated lab — verify changes with fast, repeatable execution before shipping.
Tools & MCP Connections
Browse available tools and manage Model Context Protocol connections — the control center for what the agent can reach and execute.
Watching Modes
Observe the agent at work with live watching modes — follow tool calls, file edits, and reasoning in real time.
06Contact
Discuss MantisCoder, product direction, or collaboration.
For product conversations, collaboration inquiries, or technical discussion around the MantisCoder platform, reach out directly using the details below.