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Prompt Engineering

Blog posts related to Prompt Engineering

Split screen of a worried developer with chaotic data across multiple screens vs a calm developer with a tidy workflow
AI Development Workflows

LLM Context Window Optimization for Developers: Stop Dumping Code, Start Sending Signal.

Stop copy-pasting code into LLMs. Learn how to build surgical, token-optimized context from your codebase, specs, and prompt library — without leaking secrets.

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An illustration of an iceberg at night. The small tip above the water displays a terminal running git log --oneline with three brief commit summaries. The massive, glowing underwater portion of the iceberg reveals complex git commit trees, detailed code diffs, and rich repository history.
Developer Tools

Why git log --oneline is Killing Your AI-Generated PRs

Discover why git log --oneline starves your AI of context. Learn how feeding Claude full git diffs creates detailed, architecturally accurate pull request descriptions.

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Three stacks of printed pull request descriptions on a dark desk, labeled PR 1, PR 2, and PR 3 from left to right. PR 1 is the thinnest stack showing a sparse git diffstat and oneline commit log. PR 2 is a medium stack with a structured markdown summary and What's Changed section. PR 3 is the thickest stack showing Key Design Decisions and a numbered Test Plan, with a gold trophy resting on the top-right corner — indicating it ranked first in a blind evaluation by Gemini.
AI Development Workflows

We Had Gemini Blind-Judge Three Claude-Generated Pull Requests. Here's the Template It Built.

We had Gemini blind-judge three Claude-generated pull requests. Here is the exact AI pull request template it built, and why rich code context is essential.

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