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Mutation testing is now generally available in the sydtest Haskell testing framework, enabling developers to automatically verify test suite quality by generating code mutations and checking that tests catch them. The author was motivated by the rise of AI-generated code (via Claude) and the need for an objective, automated measure of test coverage.
Explores the challenges of AI-generated software in organizations, including questions of ownership, understanding black-box code, and maintenance responsibilities.
SQLite has added an AGENTS.md file stating it does not accept agentic code but welcomes agentic bug reports with reproducible test cases, and has split AI-generated bug reports into a separate forum.
A team encounters a production bug caused by AI-generated code, sparking a discussion on who owns the error and how to redefine code ownership in AI-assisted development.
A developer shares an experience where OpenAI's Codex added an excessive guard rail by inserting a runtime extension existence check into an API, which a human engineer would never do.
The article discusses concerns that as AI tools generate increasing amounts of code, future models trained on this synthetic code may suffer from reduced quality and originality, and asks how major AI labs like OpenAI, Anthropic, and GitHub plan to address this issue.
The article argues that despite AI advancements, engineers must still understand code and systems, as AI-generated code can become a liability, and emphasizes the importance of CS fundamentals and system design.
Sci-Bot is an AI-powered research assistant connected to the Sci-Hub database, providing answers grounded in scientific literature. The project was built using AI-generated code as an experiment.
Stage is a code review platform that helps engineers review AI-generated PRs faster by grouping changes into logical chapters, aiming to reduce the backlog of pull requests.
This newsletter article discusses the challenge of AI-generated code outpacing human code review, leading to 'AI code slop', and offers strategies to balance speed and quality.
Bjarne Stroustrup criticizes AI-generated code, stating it introduces more bugs, bloat, and security holes, and is nearly impossible to validate, with senior developers retiring rather than dealing with it.
cargo-crap is a Rust tool that uses the CRAP metric to identify functions that are both complex and poorly tested, helping developers manage risk in AI-generated code.
A developer seeks feedback on building a system to audit AI-generated pull requests by reducing cognitive load and highlighting critical changes, asking about first-60-second review practices and trust evidence.
Google's Threat Intelligence Group reports that hackers are using AI-generated code to discover and weaponize a zero-day vulnerability that could bypass two-factor authentication, marking a notable escalation in AI-driven cybercrime.
Google reports 75% of its new code is now AI-generated and human-reviewed, up from 25% in 2024 and 50% in 2025, driven by Gemini models and agentic workflows.