Project and Testing Knowledge
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Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation
arXiv:2511.14224v3 Announce Type: replace Abstract: Automated unit test generation using large language models (LLMs) holds great promise but often struggles with generating tests that are both correct and maintainable in real-world projects. This paper presents KTester, a novel framework that integrates project-specific knowledge and testing domain knowledge to enhance LLM-based test generation. Our approach first extracts project structure and usage knowledge through static analysis, which...
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
arXiv:2606.06492v1 Announce Type: new Abstract: Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing methods inject this knowledge as long inputs (retrieved through RAG or dependency analysis) or through per-repository fine-tuning and LoRA -- costly at repository scale and brittle to evolving codebases. We introduce Code2LoRA, a hypernetwork framework that generates repository-specific LoRA adapters, effectively injecting repository...
Evaluating the Impact of Task Granularity on Catastrophic Forgetting in Continual Learning
arXiv:2606.08013v1 Announce Type: new Abstract: Catastrophic forgetting, the abrupt loss of previously acquired knowledge upon learning new information, remains the central challenge in Continual Learning. This project investigates whether the order in which a model learns information affects how well it retains knowledge. Specifically, we ask: does learning general categories first (like "animals" vs "vehicles") before learning specific classes (like "dog" vs "cat") reduce forgetting...
Is Python Becoming Pinyin?
I just got back from PyCon US. It was delightful; I saw old friends, met new ones, gave a tutorial on decorators, and spoke at the education summit. I’m a PyCon US sponsor, which means that I also had a booth, giving out T-shirts, books, stickers, and flyers about the LernerPython platform.
When AI Builds Itself: Our progress toward recursive self-improvement
For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work. Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor.
FrontierCode
Introducing FrontierCode Raising the bar from correctness to quality Today’s coding benchmarks have established that models can write correct code. But as AI-generated code becomes the dominant path to production, correctness is now table stakes. The question that we should be asking is: can models actually write good code?
Thousands of green sea turtle hatchlings swim to sea in a conservation win
Thousands of baby green sea turtles head to sea after successful egg relocation Mon 1 Jun 2026 at 1:25pm In short: An 82 per cent of the northern Great Barrier Reef green sea turtle eggs relocated between two islands have hatched. The species has faced increasing threats nesting on Raine Island, its main rookery. Researchers say future testing will be needed to determine if the successful hatchlings are also the same fitness More than 9,100 northern Great Barrier Reef green sea turtle...
Navigating the unknown in large-scale operational transformation programs: The "Sirius Days" framework as a 'pilot-organization' for characterizing emerging issues
new Abstract: Large-scale digital transformation programs must simultaneously sustain existing operations and navigate deep unknowns emerging from IT-business-operations interactions -a challenge conventional project governance frameworks inadequately address. Based on a longitudinal case study of a transformation program, we investigate the ''Sirius Days,'' a monthly senior management retreat identified as a critical success factor. We show that this framework constitutes a...
Microsoft’s AI chief says superintelligence is near, but won’t take your job
Today I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. And I’m actually going to keep today’s intro short — I’m working from my wife’s family farm this week, as you’ll see in the video, but also this is a real burner of an episode. We covered everything from Mustafa’s approach to training new models to his criticisms of Anthropic talking about Claude as though it is conscious.
Claude Fable 5
Claude Fable 5 and Claude Mythos 5 Today we’re launching Claude Fable 5: a Mythos-class1 model that we’ve made safe for general use. Fable 5’s capabilities exceed those of any model we’ve ever made generally available.