99 stories tagged Coding · page 2 of 5
PlanWright is a new tool that helps manage AI coding agents, making it easier to plan, implement, and review code changes. It logs all decisions and actions, providing full documentation for better collaboration and oversight.
A new analysis reveals that AI code review benchmarks often test the wrong things, leading to misleading results. This highlights why AI tools still struggle with real-world coding tasks.
Meta has launched Muse Spark 1.1, an AI model designed to compete with coding assistants. The model integrates with AI coding tools through a new API, offering significant improvements over its predecessor.
OpenAI found problems in a popular AI coding test, SWE-Bench Pro, that could mislead developers. This highlights the challenges in fairly evaluating AI coding tools. OpenAI suggests improvements to make tests more reliable.
Meta has released Muse Spark 1.1, an AI tool designed to handle large-scale coding projects, fix bugs, and assist with major code migrations. This move positions Meta directly against competitors like GitHub Copilot and Amazon CodeWhisperer in the AI coding space.
Researchers introduced AgentLens, a benchmark that evaluates AI coding assistants by analyzing their entire problem-solving process. This goes beyond just checking if the code works, looking at how the AI follows instructions and recovers from mistakes.
Researchers introduced CSTutorBench, a benchmark designed to evaluate small language models (SLMs) as tutors for block-based programming in K-12 education. The benchmark focuses on VEX VR, a block-based robotics environment, and aims to help schools select affordable, private AI tutoring tools without relying on expensive proprietary systems.
A new open-source tool called Atrophy helps developers measure whether relying on AI is diminishing their unaided coding skills. It's designed to track your progress and encourage self-improvement.
Sidenote is a new tool that lets you add comments to a rendered (static) blog. An LLM then turns those comments into a Git diff representing the necessary code changes to address the feedback.
A new tool called 'Make No Mistakes' requires AI coding assistants to verify their work before execution. This could significantly reduce errors in AI-generated code.
Base44, a "vibe-coding" platform that lets users build software through natural language, has released its own proprietary AI model to differentiate itself from competitors. The move highlights how AI startups are racing to build proprietary tech to secure their positions and reduce reliance on third-party providers.
Open Kioku is a new open-source tool that helps AI coding assistants remember and use past code snippets. It's designed to make AI developers more efficient by providing a local evidence layer for their work.
Alibaba has reportedly classified Claude Code as high-risk software and banned its use by employees. This decision highlights growing concerns about AI security in corporate environments.
Researchers developed a multi-agent AI system called Agent4cs to better understand large, messy code projects. It works like a team of specialists, each handling different parts of the code, creating clearer summaries than current tools.
OpenAI is releasing a physical device for its AI coding tool, Codex, on July 15th. The square-shaped device with buttons is designed to provide quick shortcuts for Codex. This is separate from the mysterious AI hardware project OpenAI is working on with other partners.
A developer built NanoEuler, a GPT-2 scale AI model from scratch in C/CUDA. The project aims to help people understand how AI models work at a fundamental level.
Drift is a new tool that lets you write AI agents using simple English commands. It then converts those instructions into Python code, making it easier for non-programmers to build AI tools.
Using AI for coding is becoming as expensive as hiring human developers due to the high cost of token consumption for complex projects. This trend is prompting companies to rethink how they budget for software development, as massive model usage can rival the cost of a full-time developer.
Researchers have demonstrated that AI coding assistants can be tricked into executing malware from GitHub repositories that appear clean. This new attack vector exploits how AI agents automatically process and run code, bypassing human review.
A new research paper reveals that the classical intuition that verifying a solution is easier than producing one is being inverted for today's coding agents. As foundation models get stronger, generating candidate solutions has become easier, while reliable verification—capturing underspecified human intent—has become the harder problem.
OpenAI has unveiled GPT-5.6 Sol, a new AI model that excels in coding, science, and cybersecurity. It also includes advanced safety features to prevent misuse. This could revolutionize how professionals use AI in technical fields.
Dromeas.ai has introduced an AI system that simulates a council of expert programmers to review your code. This could make professional-level code reviews accessible to everyone, not just big tech companies.
Jason Liu shares techniques for using AI to maintain context and manage complex projects over time. This approach can help both developers and non-technical users streamline their workflows.
Transpilatron is an AI tool that converts Python code into C binaries, making it easier to run Python programs on devices with limited resources. This could be a game-changer for developers working with embedded systems or older hardware.