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Introduces VisEditBench, a benchmark of 1,395 human-annotated visualization code-editing tasks for vision-language models, covering feedback-guided repair and reference-guided restyling. Evaluates 20 VLMs and proposes VisEditAgent, a render-grounded editing framework that improves pass rates from 55.75% to 67.99%.
Diffs.com launches a new edit mode, a lightweight code editor built on top of its file/diff rendering primitives, with inline editing, selection actions, markers, find/replace, undo history, and keyboard shortcuts.
This paper introduces CanItDelete, a benchmark of 200 real-world deletion-only code editing tasks, and measures how LLMs avoid deleting code. It finds that frontier models frequently leave obsolete code in place, producing passable but not merge-ready patches, and that adding deletion-focused training data improves performance.
A practical tip for running multiple AI agents on the same codebase: use a shared notes.md file for coordination to prevent conflicts.
This paper investigates the minimal context needed for coding agents to edit code, finding that natural-language summaries of code are ineffective and that surrounding context matters little, with compressed context achieving equal results at a third of the tokens. It also reveals a noise floor due to temperature-0 API inference.
Introduces oh-my-pi, a terminal-based AI coding assistant forked from Pi. With its Hashline editing system, it achieves high-precision code modifications, reducing token consumption by 61%. It comes with 32 built-in tools, supports over 40 languages and more than 40 LLM providers, and can import configurations directly from major tools, making migration costs negligible.
A proposed workflow for AI coding agents that emphasizes brainstorming and boundary enforcement before code editing, seeking community feedback on its utility.
A blog post investigating the "Over-Editing" problem where coding LLMs rewrite more code than necessary when fixing simple bugs, proposing metrics and training approaches to encourage minimal, faithful edits.