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How Antithesis Turned exe into a Sandbox for Agentic Software Tests - exe.dev blog
Carl Sverre spends a lot of time thinking about how to give AI agents the right amount of power. Give them too little, and they can’t do real work. Give them too much, and they might blow up your tech stack. As a software engineer at Antithesis, an autonomous software testing platform, that question is core to how Sverre thinks about designing tools in the era of advanced AI.
Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl
Notes from my Thoughtworks colleagues on AI-assisted software delivery
From OSS to Open Source AI: an Exploratory Study of Collaborative...
AI development is embracing open-source paradigm, but the fundamental distinction between AI models and traditional software artifacts may lead to a divergent open-source development paradigm with...
Stop Begging Billionaires To Fix Software — Build Your Own
This is part one of a two-part series on using AI tools as one piece to fight back against tech company control of our lives. Part two shares the details of how I built my own task management tool …
Measuring the Impact of Early-2025 AI on Experienced Open-Source...
Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the...
Everything is ugly, so go build something that isn't — Raiza Martin, Huxe (ex NotebookLM)
scaleapi/SWE-bench_Pro-os
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents
Microsoft for Startups | Microsoft
Build fast, scale smart, and sell more with the cutting-edge AI, global customer experience, and deep enterprise experience of Microsoft. Get started today.
Software Innovation Lab
Scale your engineering power. We enable deep-tech startups to achieve their vision, from research to product delivery.
The Year of the Software Factory
We are building LifeBuild, a personal operating system for your life where AI agents help you draft projects, prioritize your commitments, and stay on top of what matters—from health to relationships to finances and beyond. This Lab Notebook chronicles our explorations.
Inside OpenAI’s agentic software factory
A deepdive into how Codex has “taken over” OpenAI, how the frontier lab builds its agentic software factory, and the engineering challenges of one billion users. Details from inside OpenAI
Getting Started with ML and AI in Research Software | Software Sustainability Institute
Getting started with ML in research software means embracing a shift in how results are produced and reproduced. Instead of a fixed execution path, research software teams work with systems whose behaviour emerges from data, configuration, and training dynamics. Reproducibility becomes a matter of capturing the process rather than relying solely on the code. The tools and techniques outlined here can be adopted incrementally into existing projects, and together they provide a practical foundation for reproducible ML research.
After automation: Software will work for you, not on you
Alex Komoroske, CEO and cofounder, Common Tools — AI promises “infinite software”—endless tools tailored to every need—but funneled through today's app stores, that abundance just means more silos, more trapped data, and more to orchestr...
Augment Code Pricing - Plans for Teams and Enterprise
Simple, transparent pricing for AI-powered development. Plans for individuals, teams, and enterprise.