Category: AI/LLM
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Beyond the Code Diff: Managing Understanding Debt in the Age of AI Agents
AI coding agents have changed the rate at which code arrives for review. It is now common for an engineer to pilot one or more agent sessions at a time, each one producing a merge request (MR) of its own, and for a team’s review queue to grow in both…
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DevLog+: Building a Personal Learning Engine
AI use within software development is no longer a fringe experiment — it is the default mode of operation. Stack Overflow’s 2025 Developer Survey found that 84% of developers are already using or actively planning to use AI tools in their workflow — up from 76% the year prior. The…
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Building a Quality Flywheel for LLM Applications
Context Whenever you work on agentic applications you need to be able to navigate non-deterministic behavior by building against samples of positive data. This lets you test whether your application works as expected under known scenarios. This is harder than it sounds. Your initial dataset may not cover cases you…
