Project Manager: Agentic Engineering to Software Development
The Project Manager brings agentic engineering to BoldCreate by orchestrating AI-assisted development through structured workflows inside your IDE. It helps teams plan, build, verify, review, and deliver production-ready software faster.
- AI-guided SDLC
- Smart project planning
- Built-In quality gates
- Complete audit trail
Built by Syncfusion. Trusted by 41,000+ enterprises.
25+ years of developer tools, now reimagined for the agent first era.
Fast AI Coding Isn't the Problem. Skipping the Process Is.
AI coding assistants accelerate development but don't enforce engineering best practices. Project Manager guides every task through a structured workflow—from requirements to code quality—reducing technical debt without leaving your IDE.
No clear requirements
Start every feature with an AI-generated specification before writing code.
Unplanned development
Automatically create structured implementation plans and task sequencing.
Missing quality checks
Run testing, validation, accessibility, and security reviews before delivery.
Scattered project context
Keep project knowledge, artifacts, and decisions together in one workspace.
Everything you need to manage AI-assisted development in one workspace
The Project Manager organizes every stage of AI-assisted development inside BoldCreate. Create tasks, extend AI with plugins, maintain project knowledge, review development history, and configure software development lifecycle (SDLC) workflows—all from a single panel.
Start every AI workflow with a simple prompt
Describe what you want to build in plain language. The Project Manager analyzes your project, selects the appropriate SDLC process, and automatically begins the workflow of define, plan, build, verify, and review. Pause or cancel tasks at any time without losing control of your development process.
From requirements to production—Every step is structured
The Project Manager automatically guides every AI-assisted task through a structured SDLC. Each lifecycle phase builds on the previous one, generating project artifacts, enforcing approvals, and ensuring every feature is planned, validated, and reviewed before delivery.
Define
spec.mdThe AI analyzes your codebase, understands the project context, and generates a detailed spec.md that captures requirements, design decisions, and implementation assumptions. Review and approve the specification before development begins.
Plan
plan.mdThe AI transforms the approved specification into a structured plan.md with implementation phases, prioritized tasks, dependencies, and the safest execution order. Confirm the plan before moving to development.
Build
code + testsThe Project Manager has the AI implement the approved plan by generating code, updating project files, and creating tests while following your architecture, coding standards, and project conventions. Review the implementation summary before continuing.
Verify
verification reportThe AI runs automated verification checks: testing, production builds, code quality, accessibility, performance, and project-specific validations. Review the generated verification report before progressing.
Review
code review reportThe AI performs a comprehensive code review that evaluates correctness, readability, architecture, security, and performance. Look at the final code review report and approve the implementation for delivery.
The right workflow for every development task
The Project Manager automatically evaluates the size, complexity, and risk of every AI-assisted task, then selects the appropriate development workflow. Small updates move quickly, while complex or high-risk changes receive additional engineering stages, quality gates, and approval checkpoints—ensuring every task gets the right level of SDLC discipline.
Light
The light workflow is for documentation updates, configuration changes, and simple bug fixes. It runs a streamlined workflow with the essential stages required to complete low-risk tasks efficiently.
Standard
The standard workflow is for everyday feature development and code refactoring. It includes specifications, code reviews, and required approvals to maintain software quality.
Thorough
The thorough workflow is for complex features, architectural updates, and security-sensitive work. It adds security reviews, prelaunch validation, and additional quality checks before delivery.
Maximum
Built for mission-critical changes like authentication, database migrations, payment systems, and breaking APIs with the highest governance, quality gates, and approvals.
Built for teams that want AI development with structure
Whether you're building new features, managing engineering standards, or onboarding developers, the Project Manager helps your team follow a consistent SDLC without adding manual overhead.
AI-first developers
Build faster without sacrificing engineering discipline. The Project Manager automatically generates specifications, implementation plans, code reviews, and documentation. So every AI-assisted task has a clear record of what was built and why.
Engineering managers
Ensure engineering standards are followed across every project. Verify that specifications, security reviews, quality checks, and approvals are completed before code reaches production, with a complete artifact history for every task.
Growing development teams
Help new developers become productive faster. Every completed workflow produces specifications, implementation plans, and code reviews that explain not only what was built, but also the reasoning behind key engineering decisions.
Teams building critical applications
Reduce delivery risks for applications in which quality matters most. The Project Manager adds structured workflows and review gates to projects involving user-facing applications, data pipelines, public APIs, authentication systems, and payment workflows.
Bring structure to every AI-assisted development workflow
Don't let important engineering steps get skipped. Use the Project Manager to automate your SDLC with AI-guided planning, built-in quality gates, structured reviews, and complete project traceability—all from inside your IDE.