Engineering with Claude across Hometap’s development lifecycle
Challenge
- AI adoption on Hometap's engineering team started with structured evaluation and A/B testing, but consistently comparing results was still difficult without one common, sanctioned assistant.
- Documentation, code authorship, and code review depended on individual practices rather than a single standardized workflow, making it hard to scale good habits across the whole team.
- Extending consistent AI-assisted practices across both software engineers and QA, not just individual contributors, remained out of reach without an officially adopted tool and set of practices.
Solution
- Proxet engineers worked within Hometap's engineering team on their AI maturity journey, from early exploration through structured assessment and A/B testing, to a fully standardized, team-wide approach.
- Hometap named Claude Code the official AI assistant, with Proxet supporting the determination of a more formal set of AI-use policies and best practices.
- Developers began pairing their discovery pass with Claude — working from the terminal or the app — with human in the loop steering and model selection.
- Built a subagent model delegated from a single main Claude thread so multiple tasks run in parallel instead of sequentially.
- Built custom skills to give Claude-generated code a first automated review before it reaches a teammate.
- Implemented Claude to review colleagues' code directly, with a human always making the final call. A dedicated agent writes end-to-end tests automatically once a ticket is closed.
Outcome
- 70% faster bug resolution, with mean time to fix dropping from over 8 days to 2 days.
- Nearly 2x more technical debt resolved: refactoring and code-health work rose from 58 to 115 issues addressed.
- Claude Code established as Hometap's official AI assistant for its software engineering and QA organization.
- Specialized subagents let the team parallelize work across frontend, backend, architecture, and QA tasks from a single main thread, rather than working them one at a time.
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