Cognition operates Devin, described as an autonomous software engineer that plans, writes, tests, and ships production code inside existing workflows. The company also publishes FrontierCode, a benchmark intended to measure whether a model writes code a maintainer would merge. Cognition builds tools for software creation.
Flyte 2 is described as a durable AI runtime for running training, serving and agent workloads, with automatic recovery from infrastructure and code failures. Workflows are written in Python, and the project is distributed as Apache 2.0 open source under the Linux Foundation.
Aider LLM Leaderboards presents quantitative benchmarks of LLM code editing skill. The polyglot benchmark tests LLMs on 225 Exercism coding exercises in C++, Go, Java, JavaScript, Python and Rust, and benchmarks evaluate an LLM's ability to follow instructions and edit code without human intervention.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
PyDy, short for Python Dynamics, is a workflow and set of software packages for studying multibody dynamics in Python. Its core is the SymPy mechanics package, which generates symbolic equations of motion for multibody systems, and PyDy extends that output to simulation, analyses, and visualization. It builds on NumPy, SciPy, IPython, matplotlib, Cython, and Theano.
An article by Benedict Evans discussing generative AI, Large Language Models and ChatGPT as a generational change in software automation, and considering what this means for employment and jobs. It compares the current wave with 200 years of past automation and asks whether new jobs will replace those displaced.
A blog post published September 17, 2024, on On Test Automation, in which author Bas Dijkstra expresses fatigue with how artificial intelligence is applied and marketed in software testing, software development and life generally. The author states no necessary opposition to AI itself, saying he uses it sparingly and with caution.
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Flyte 2 is described as a durable AI runtime for running training, serving and agent workloads, with automatic recovery from infrastructure and code failures. Workflows are written in Python, and the project is distributed as Apache 2.0 open source under the Linux Foundation.
Aider LLM Leaderboards presents quantitative benchmarks of LLM code editing skill. The polyglot benchmark tests LLMs on 225 Exercism coding exercises in C++, Go, Java, JavaScript, Python and Rust, and benchmarks evaluate an LLM's ability to follow instructions and edit code without human intervention.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
PyDy, short for Python Dynamics, is a workflow and set of software packages for studying multibody dynamics in Python. Its core is the SymPy mechanics package, which generates symbolic equations of motion for multibody systems, and PyDy extends that output to simulation, analyses, and visualization. It builds on NumPy, SciPy, IPython, matplotlib, Cython, and Theano.
An article by Benedict Evans discussing generative AI, Large Language Models and ChatGPT as a generational change in software automation, and considering what this means for employment and jobs. It compares the current wave with 200 years of past automation and asks whether new jobs will replace those displaced.
A blog post published September 17, 2024, on On Test Automation, in which author Bas Dijkstra expresses fatigue with how artificial intelligence is applied and marketed in software testing, software development and life generally. The author states no necessary opposition to AI itself, saying he uses it sparingly and with caution.
