17 stories tagged Development
A new research paper formalizes Spec-Driven Agentic Development (SDAD), a framework where AI agents backed by large language models ingest entire Functional Requirement Documents and repository context to autonomously deliver software, making specification quality the key driver of the AI-native SDLC.
AWS has published a detailed blueprint for building production-ready AI agents using the Strands and AgentCore frameworks. The guide provides developers with practical tools and best practices to improve the reliability, performance, and real-world capability of AI agents.
NVIDIA has open-sourced a suite of simulation tools for training AI in realistic physical environments, aiming to accelerate robotics and automation research. The tools include advanced physics engines and high-fidelity 3D environments, making high-quality simulation accessible to more developers.
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.
Mito published a guide on creating secure AI sandboxes using Kubernetes, allowing developers to test AI models in isolated environments without risking their main systems. This approach makes AI experimentation safer and more accessible.
Researchers propose a new language to clearly define how AI and humans should work together in software development. This could make teamwork between people and AI more predictable and reliable.
Khwand is a new GitHub app that automates testing and fixing AI agents. It promises to make developing AI-powered tools more reliable for developers.
Nextdoor engineers are using OpenAI's Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes rather than getting stuck on technical hurdles.
Olmo-Eval is a new open-source platform designed to help developers test and improve AI models. It streamlines the evaluation process, making it easier for anyone to assess AI performance.
Wasmer leveraged OpenAI's Codex, powered by GPT-5.5, to create a Node.js runtime for edge devices, speeding up development 10x to 20x. This breakthrough showcases how AI can accelerate software development for edge computing.
AI tools can generate code quickly, but fixing and maintaining that code often takes longer than writing it from scratch. This hidden cost is rarely discussed in the excitement around AI productivity gains.
Sea Limited is integrating OpenAI's Codex into its engineering teams to speed up AI-powered software development. This move highlights the growing trend of AI-assisted coding in Asia.
Anthropic completed a major rewrite of the Bun JavaScript runtime in Rust in just a few weeks. This could make Bun faster and more reliable for developers.
A new tool lets AI agents share memories and learn from each other, helping development teams maintain consistency. It stores valuable insights as artifacts for future use.
SuperHQ introduces a new way to run AI coding agents in isolated microVMs, ensuring system safety and clean workflows. The tool provides a unified diff view for managing changes without affecting the host environment.
A new synthetic sandbox environment has been created to train machine learning engineering agents. This could revolutionize how AI systems are developed and tested.
The Linux kernel now permits the use of AI tools for contributions, with strict guidelines to ensure code quality. This marks a significant shift in open-source development practices.