By R. S. Doiel, 2026-02-21 (revised: 2026-03-03, epilogue added 2026-03-27)
Test-Driven Approaches to Software Engineering with Large Language...
Tests increasingly participate in the decisions made by large language models and software engineering agents. They specify intended behavior, guide program construction and repair, select...
Geoffrey Litt
Welcome! I work on malleable software: computing environments where anyone can adapt their software to meet their needs with minimal friction. To see what that means to me, read this essay or listen to this interview.
The Interface of Kai Krause's Software @mprove
Matthias Müller-Prove, Innovative Benutzungsschnittstellen, 1998/99, University of Hamburg
Fine-grained and accurate source code differencing | Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering
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The Next Two Years of Software Engineering
Exploring five critical questions shaping software engineering through 2026, with contrasting scenarios for each. These lenses help prepare for the evolving ...
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Large Language Model (LLM) agents have been widely adopted in modern software development workflows. SWE-bench [13] and related works [23, 24, 22, 25, 15] establish the task of issue resolution as a de-facto standard for assessing their capability and usefulness. In this setting, an agent is given an entire codebase, a task description (e.g., a bug report or feature request) in natural language and is instructed to produce a code patch that resolves the issue and passes the repository’s test suite. These benchmarks have been instrumental in demonstrating both the substantial potential and the persistent limitations of current models as SWE agents.
Malleable Software in the Age of AI - Geoffrey Litt
The Bulk of Software Engineering is Just Plumbing
I read a post online recently about how some software engineer was asked to complete a technically complex, jargon-filled coding challenge over the...
Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Varv: Reprogrammable Interactive Software as a Declarative Data Structure
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Producing Open Source Software
Copyright © 2005-2023 Karl Fogel, under the CreativeCommons Attribution-ShareAlike (4.0) license.
Resugaring | Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation
Syntactic sugar plays a crucial role in engineering programming languages. It offers convenient syntax and higher-level of abstractions, as witnessed by its pervasive use in both general-purpose and domain-specific contexts. Unfortunately, the ...
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