Glover introduces VPC-native deployment model
It brings AI to customer data in their VPC, using own models, cloud, and infrastructure. Eliminates data egress, ensures zero vendor access, and enables production in hours.
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Agentic platform for legacy software
gloverlabs.aiLast updated
In short: Glover launched its Archaeologist platform and Figure-8 Loop architecture to modernize legacy software systems through AI-native workflows.
It brings AI to customer data in their VPC, using own models, cloud, and infrastructure. Eliminates data egress, ensures zero vendor access, and enables production in hours.
It uses deterministic extraction, multi-step spec generation, coverage verification, and structured code generation for reliable AI-driven legacy modernization. Every legacy code line is accounted for and tested.
Anthropic claims AI cuts analysis costs; IBM stresses system stack value. Glover highlights missing understanding layer for true modernization. Positions itself as solution.
The team achieves high productivity through AI-integrated feedback loops reorganizing workflows, using tiered models, CLAUDE.md files, and multi-agent code generation. Lessons include continuous tuning of processes.
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