Describe bugs clearly and use AI-guided steps to debug faster

Describe bugs clearly and use AI-guided steps to debug faster targets a $6.9B = 23M developers × $300 ACV total addressable market with high saturation and a year-over-year growth rate of 20% YoY — developer tools and AI-assisted productivity spend growing rapidly (based on industry reports like SlashData and IDC on developer tooling and AI adoption).

Key trends driving demand: Trend — Widespread adoption of code-capable LLMs makes automated test generation, reproduction and patch suggestion practical and reliable enough for production workflows.; Trend — Increasing emphasis on developer productivity and metrics (MTTR, lead time) creates willingness to buy tools with measurable time-savings.; Trend — Deep integrations between IDEs, CI, error monitoring, and VCS allow tools that capture richer context automatically, enabling closed-loop learning.; Trend — Rise of product-led growth for developer tools means high-quality free tiers and content can accelerate adoption before sales touchpoints..