Why your migration tools are failing your engineers

Large-scale codebase migrations often face delays not due to the engineers or plans, but because existing tools lack comprehensive visibility across the entire codebase, which leads to inefficiencies and prolonged timelines. Traditional keyword search tools and AI coding agents struggle with understanding code relationships and dependencies, especially in distributed, multi-repository environments, resulting in significant investigation time before implementation can even begin. This visibility issue is exacerbated in complex setups involving multiple version control systems, where engineers and AI agents lack access to complete dependency maps, leading to errors and incomplete migrations. Sourcegraph's Code Intelligence tools address these challenges by providing cross-repository visibility, enabling engineering teams to complete migrations more efficiently and accurately, as demonstrated by improved task completion times and precision rates in various coding tasks. By enhancing visibility, teams can plan, execute, and finalize migrations more effectively, avoiding the costly delays and risks associated with inadequate tooling.

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