Startup Zencoder (formerly For Good AI) has launched a cloud-based AI-powered E2E testing agent that simplifies the pipeline from initial code to production-ready applications. Now in public beta, Zentester tackles “verification,” which Zencoder founder and CEO Andrew Filev calls “the missing link” in scaling AI-created code from concept to market-ready app. That complicated process is often delayed by a bottleneck in final testing. Zentester is designed to take that late-stage verification process “from days to hours,” Filev says. Zentester has the typical agent superpowers — seeing and interacting as users do by clicking buttons, filling in forms and navigating workflows. Continue reading Zencoder Testing Agent Shaves Weeks Off App Development

French startup Mistral AI has released its first large language model for coding. Codestral gives developers looking for a code-native AI tool an option to Meta’s Code Llama, Microsoft’s GitHub Copilot and Amazon Q. Fluent in 80 programming languages — including Python, C++ and JavaScript — Codestral can complete code, write tests, and augment partial code “using a fill-in-the-middle mechanism,” while reducing “the risk of errors and bugs,” according to the company. The new LLM is described as open, but its license prohibits commercial use of both Codestral and its outputs. Continue reading Mistral Development Tool Knows 80 Programming Languages

IBM has released a family of its Granite AI models to the open-source community. The series of decoder-only Granite code models are purpose-built to write computer code for enterprise developers, with training in 116 programming languages. These Granite models range in size from 3 to 34 billion parameters in base model and instruction-tuned variants. They offer a range of uses, from modernizing older code with new languages to optimizing programs for on-device memory constraints, such as might be experienced when conforming for mobile gadgets. In addition to generation, the models can repair and explain code. Continue reading IBM Introduces Granite LLMs for Enterprise Code Developers