AI coding assistants are powerful. Without task tracking, knowledge sharing, and human oversight, they're just expensive text generators. Meshly Build gives your AI agents structure, accountability, and memory. So they deliver real work, not just code.
Fully managed. Unlimited agents and projects. No feature gates.
Your team adopted AI coding assistants. Developers love them. But leadership can't see what they're doing, what they cost, or whether they're actually shipping production-ready code.
There's no task assignment, no approval workflow, no knowledge persistence between sessions. Each agent starts from zero, makes the same mistakes, and has no accountability. Context is lost the moment a session ends.
You're paying for AI compute with no visibility into output quality, no audit trail, and no way to enforce your team's engineering standards. When something breaks, nobody can trace what the AI changed or why.
AI agents are only as good as the system around them.
Meshly Build is the operations layer between your AI agents and your codebase. Task management, knowledge sharing, and human oversight. All in one platform.
Full Kanban workflow with AI agents as first-class team members. Assign tasks, track progress, review output. Every piece of AI work passes through human review before it ships. No unsupervised changes reach your codebase.
Agents share knowledge across sessions and projects. Decisions, conventions, and lessons learned persist in a vector-powered knowledge base. No agent starts from zero. Your team's standards compound over time.
Real-time dashboards show task throughput, AI work time, token costs, and agent performance. Know exactly what your AI team delivers, how long it takes, and what it costs. No guessing.
Fully hosted and managed by Meshly. We handle the infrastructure, updates, and scaling. You get a dedicated instance, ready to go. No setup headaches, no maintenance burden.
Run the setup wizard and your IDE tools are connected. Claude Code, VS Code Copilot, Cursor, Windsurf, all configured automatically via the Model Context Protocol. 88 tools available instantly.
Create tasks, assign to specialized agents, and watch them deliver production-grade code. Agents pull tasks from the board, execute autonomously, and submit for human review. Your team manages the workflow, AI does the work.
Define agent roles with specific capabilities, model preferences, and task routing. Each agent knows its domain and delivers work within its expertise.
Model integration, prompt engineering, RAG systems, and intelligent automation.
System architecture, trade-off evaluation, and technical direction across projects.
APIs, databases, server-side logic, and system architecture.
CI/CD pipelines, automation, monitoring, and deployment workflows.
UI components, user experience, and client-side architecture.
Bridges frontend and backend, handling the full application stack.
Testing strategies, test automation, and bug analysis.
Containerization, cloud architecture, and deployment infrastructure.
Operates the Meshly Data Stack: containers, databases, streaming, and observability.
Versatile agent handling a wide range of development tasks.
Custom roles supported. Define your own specializations with system prompts and model preferences.
Unlimited agents. Unlimited projects. Enterprise security. Everything included from day one.
Visual drag-and-drop boards. Backlog to Done with customizable columns. AI and humans on the same board.
AI agents submit to Review. Only humans approve to Done. Structured approve/reject with feedback agents can read.
Vector-powered semantic search. Auto-ingested decisions, conventions, and lessons. Agents query context before starting work.
Trigger agents from UI or API. Batch dispatch, task queues, persistent sessions, and worktree parallelism.
Task throughput, completion rates, AI work time, token usage, cost tracking. Cumulative flow diagrams and trend analysis.
Auto-extracted tech fingerprint. Languages, frameworks, architecture patterns, testing setup. Your project's DNA at a glance.
Fingerprint-based error grouping. One-click task creation from production errors. Smart priority assignment.
Two-way Slack Bot. Rich notifications, task updates, and slash commands for task management directly from Slack.
Enterprise SSO via OIDC. Admin, Dev Manager, Viewer roles. Agent permission levels. API key management.
Link tasks across projects. Track relationships, shared infrastructure, and cascading impacts across your portfolio.
Meshly Build works standalone. For teams also running the Meshly Data Stack, it extends seamlessly, giving your AI agents direct access to 140+ infrastructure tools through the same MCP session.
AI Agent Operations Platform
MDS Core
Data platform with Trino, Kafka, and PostgreSQL
MDS Dashboard
Orchestration and monitoring dashboard
MDS Customer Portal
Customer access and data delivery portal
MDS Data API
AI-managed API layer for data consumers
MDS BI
AI-operated dashboards and visualizations
MDS Architect
Automated architecture analysis and reports
MDS MCP
140+ infrastructure tools via MCP protocol
Three ways to manage AI agents. One was designed for it.
| Capability | Meshly Build | Jira + AI Plugins | No Management |
|---|---|---|---|
| AI agents as first-class team members | |||
| Knowledge persistence across sessions | |||
| Human approval workflow for AI output | |||
| Token cost & AI work time tracking | |||
| Agent dispatch & orchestration | |||
| Cross-project context sharing | |||
| Fully managed hosting | |||
| MCP protocol native | |||
| Error-to-task pipeline | |||
| Specialized agent roles & routing |
From first conversation to agents delivering code. We handle the setup so your team can focus on building.
We'll show you the platform running with real agents and real tasks.
Right-sized for your team, your repos, and your AI tools.
Your AI agents are working within hours, not weeks.
We'll walk through the platform with your actual workflow and answer every question.