Warp is an agentic development environment, born out of the terminal. - warpdotdev/warp
The Block Model Behind Warp's Agentic Development Environment
Warp has come a long way since it initially set out to modernize the terminal. In the screenshot above, an agent is working through a plan alongside a developer's own shell commands — running its own commands, reasoning, proposing a diff — all in the same scroll stream. Five years ago, none of that would have had a place in Warp; today it's a core part of how people use it.
WarpBuild - 2x faster, 50% cheaper Github Actions runners
WarpBuild is a drop in replacement for Github runners that are 2x faster and 50% cheaper.
warpfork/try-electron
Contribute to warpfork/try-electron development by creating an account on GitHub.
agentlanguages.dev — Programming languages designed for AI agents to write
A community-edited catalogue of programming languages designed for AI agents to author code, organised around three philosophical camps: syntactic, verification, and orchestration.
Mistral Vibe | AI coding agent for terminal, IDE by Mistral.
Agentic coding that understands your entire codebase. Build, test, and modernize autonomously.
.github/GOVERNANCE.md at main · co-infra/.github
Contribute to co-infra/.github development by creating an account on GitHub.
repomirror/repomirror.md at main · repomirrorhq/repomirror
Contribute to repomirrorhq/repomirror development by creating an account on GitHub.
skills/openverse/SKILL.md at main · toosean/skills
the skills i wrote. Contribute to toosean/skills development by creating an account on GitHub.
Cognition | Agent Trace: Capturing the Context Graph of Code
We’re excited to join in Cursor, Cloudflare, Vercel, git-ai, OpenCode and others in support of [Agent Trace](https://agent-trace.dev/). As described in the spec, Agent Trace is an open, vendor-neutral spec for recording AI contributions alongside human authorship in version-controlled codebases.
AGENTS.md
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
The Evolutionary Ecology of Software: Constraints, Innovation, and the AI Disruption
This chapter investigates the evolutionary ecology of software, focusing on the symbiotic relationship between software and innovation. An interplay between constraints, tinkering, and frequency-dependent selection drives the complex evolutionary trajectories of these socio-technological systems. Our approach integrates agent-based modeling and case studies, drawing on complex network analysis and evolutionary theory to explore how software evolves under the competing forces of novelty generation and imitation. By examining the evolution of programming languages and their impact on developer practices, we illustrate how technological artifacts co-evolve with and shape societal norms, cultural dynamics, and human interactions. This ecological perspective also informs our analysis of the emerging role of AI-driven development tools in software evolution. While large language models (LLMs) provide unprecedented access to information, their widespread adoption introduces new evolutionary pressures that may contribute to cultural stagnation, much like the decline of diversity in past software ecosystems. Understanding the evolutionary pressures introduced by AI-mediated software production is critical for anticipating broader patterns of cultural change, technological adaptation, and the future of software innovation.
Composable, fast, and secure dev environments | Workshop | Ubuntu
Launch agent-ready, sandboxed development environments with a single command. Define them via simple YAML configs, share them to recreate on different machines.
GitHub - MrLesk/Backlog.md: Backlog.md - A tool for managing project collaboration between humans and AI Agents in a git ecosystem
Backlog.md - A tool for managing project collaboration between humans and AI Agents in a git ecosystem - MrLesk/Backlog.md