Here are the highlights from the last week:
We have significantly improved our assistant reasoning thought process to better interpret user intentions and understand conversation context across multi-turn conversations. Additionally, we have also streamlined our processes to improve latency of results for simple user requests.
Deductive now extends its code search and reasoning to include Open Source external dependencies. This allows troubleshooting across system boundaries, such as application code ↔ client SDK ↔ database server. With this enhancement, Deductive AI can locate relevant code snippets across repositories, speeding up issue resolution.
If you’re interested, let us know the systems you rely on, and we’ll enable this feature for you.
Code discovery has been refined to retrieve and display only relevant code segments from the codebase, rather than full files. This upgrade provides users with more focused and accurate search results, improving the relevance of discovered code and eliminating the need for manual navigation through entire files. It also enhances our reasoning process, making it easier to identify potential issues based on the retrieved segments.
Our latest enhancements in image processing greatly improve Deductive AI's ability to understand and interpret images and extract content from it. By better comprehending the information within images, we can assist users in identifying the root causes of problems more effectively. This advancement allows for more accurate interpretation of visual data, such as charts enabling Deductive AI to extract meaningful insights and address issues with greater precision.