As the operating system for agentic software development, BeeHive orchestrates 120+ specialized AI agents with predefined roles across a standardized software development process – focused on quality, transparency and repeatability.
AI builds prototypes fast. Getting to production is still the hard part.
Architecture, security, testing, integration, maintainability and traceability are the real challenge. BeeHive structures that path – from feature spec to review.
How BeeHive works
BeeHive Create the specification
Validate the specification /validate-spec
78 · below threshold /refine-spec 93 · threshold met /estimate-effort SPEC-001 · token usage estimated
Build the feature /ship-feature-auto
FEAT-001 parallel FEAT-002 parallel FEAT-003 after FEAT-001 Review insights Project Insights
Retrospective /retro FEAT-001
Learning captured
next cycleGreenfield and brownfield start differently and share the same standard process from the specification onwards.
/ship-feature-auto FEAT-001
Describe requirements clearly.
Check and improve the quality of the spec.
Develop features with orchestrated agents.
Review quality, tests and results.
Carry learnings into the next cycle.
Standardised, repeatable work steps instead of individual prompt chains.
Coordinated flows for complex tasks across multiple agents.
Specialised agents for architecture, implementation, testing and quality control.
Project knowledge and the existing codebase as usable context – in an Obsidian vault.
Traceable artefacts for changes, checks and results.
Insight into progress, quality, security and consumption.
LLMs make developers faster. BeeHive connects their work into one coordinated engineering process.
Why BeeHive
A model can generate code. BeeHive adds the framework for standards, division of labor, quality assurance, project context and verifiable results.
BeeHive FEAT-042 · DATEV exportPipeline
Check FEAT-042 against all gates and summarise open review notes.
| Aspect | LLM / coding agent alone | BeeHive |
|---|---|---|
| Generate code | ||
| Shared standards | – | |
| Division of labor across specialized agents | – | |
| Quality assurance built into the process | – | |
| Project context from the Knowledge Base | – | |
| Verifiable results (Delivery Evidence) | – |
BeeHive runs fully on-premises in your own infrastructure. Existing repositories and your preferred language models can be brought into agentic development.
BeeKeeper BeeHiveAgentic Development Harness
Sandboxall CLI calls in the sandbox – the same processes for every developer
Runtime MCPa local MCP server makes BeeHive available in BeeKeeper
CLIBeeKeeper needs access to the CLI of the LLM in use
Choose your LLM
BeeHive · Agent orchestration
BeeHive coordinates specialized agents for different tasks – with clear handoffs instead of isolated prompt chains. Every critical discipline, one shared workflow: BeeHive brings the roles successful agentic software development needs and orchestrates the agents along defined tasks and process rules.
BeeHive Swarm · FEAT-042
Timeline
Orchestrate FEAT-042 across build, tests, security and review.
BeeHive · Autonomous development
A structured workflow connects specification, implementation, review and result – even across longer development cycles. BeeHive guides you through writing a specification, checks it against clear criteria for completeness and maturity, and assigns a score. Only when the score is high enough does the specification pass the quality gate.
BeeHive InputSpec.md
# DATEV exportInvoices are exported monthly …## Acceptance criteria- Export as CSV in DATEV format- Behaviour without tax ID?## Data- Date format?/validate-spec5 checks
/validate-spec InputSpec.md
BeeHive · Quality
Quality and security checks are not left until the end – they are built into defined development workflows. The result is reliable output, without teams having to set up additional manual review loops.
BeeHive FEAT-042 · DATEV exportPipeline
datev.service.ts:42Tax ID missing in the error case – please add validation and a test for it.
Check FEAT-042 against all gates and summarise open review notes.
BeeHive · KPI dashboards
Dashboards give you an overview of the key metrics and the state of your development projects – from a single delivery to the entire portfolio.
BeeHive Quality scores · FEAT-042
DeliveryPortfolio Show me the security, compliance and code-quality scores for this sprint.
BeeHive · Transparency & documentation
The BeeHive feature “BeeLens” makes visibility into the agents’ work and results part of the development process. Every change, check and decision stays traceable – for humans and agents alike.
BeeHive Activity · FEAT-042today
Board
In progress
FEAT-042DATEV exportReview
FEAT-040Client dashboardReleased
FEAT-039Payment reminders What did the team and the agents do on FEAT-042 today?
BeeHive · Cockpit
It’s not about generating more code. BeeHive orchestrates specialized agents across the entire development process – from specification and architecture through implementation and testing to documentation and quality assurance. Developers stay in control while agents take over operational development tasks.
BeeHive Backlog4
FEAT-045Partner portal SSOIn progress3
FEAT-042DATEV export4 agentsReview2
FEAT-040Client dashboardReleased14
FEAT-039Payment reminders9/9 Gates Show me all features in this sprint with open quality gates and the current ROI.
BeeHive · Tokens
BeeHive makes AI consumption across the development process transparent – per feature, per project and over time. That way you can assess and manage token costs early instead of discovering them after the fact.
BeeHive Token usage · sprint 14
FeatureAgentModelFEAT-042DATEV export1.8 MFEAT-040Client dashboard1.1 MFEAT-045Partner portal SSO0.6 MFEAT-039Payment reminders0.4 M Show me this sprint’s token usage by feature and agent.
Explore six typical challenges of agentic development – and how BeeHive addresses them.
Problem 01
Secure code quality and maintainability.
Discover the solutionProblem 02
Create consistent processes.
Discover the solutionProblem 03
Automate traceability.
Discover the solutionProblem 04
Control AI costs early.
Discover the solutionProblem 05
See privacy, compliance and security KPIs in one place.
Discover the solutionProblem 06
Validate requirements before implementation.
Discover the solutionNo. BeeHive is a harness that structures and supports your team’s work.
No. BeeHive is the agentic operating system, or harness; BeeKeeper is the development environment.
Together we assess how DANIC fits your team, your infrastructure and your requirements.
datev.service.ts:42Tax ID missing in the error case – please add validation and a test for it.