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HydraFusion is GitHub's runtime orchestration system that dynamically combines models from multiple providers using single-model, cascade, or critique workflows to balance coding quality, cost, and latency. In offline benchmarks, it matched or exceeded Claude Opus 5 quality while reducing estimated costs by 36% to 67%, demonstrating the potential of adaptive multi-model routing for agentic software development.

Lovable treats free AI product usage as acquisition spend rather than a margin drain, measured against a 3-month payback threshold weighing conversion, retention, and expansion. That framing matters more now that AI has pushed gross margins from the SaaS era's 80-90% toward 40% or less, leading many companies to gate AI functionality behind paywalls instead of letting users experience it first. Free-to-paid conversion for Lovable runs 5-10%, and partner-driven giveaways with a strong audience match can convert at 40-60%. The realistic alternative to giving the product away is spending far more to acquire the same customers through paid channels, not keeping the money.

Instead of allowing all files by default and selectively ignoring certain ones, a new approach suggests ignoring everything by default and only allowing specific files to be tracked by Git, which can prevent accidental commits of unwanted local files.