503 VC Market Maps Tell Us Where AI Agent Coding Is Headed
Plotly analysis of Joy Larkin's 2026 AI Market Maps dataset: agents dominate coding coverage, DevTools stay steady, and VCs are defining categories — not comparing tools.
CodexInfinity
Blog
Technical insights on autonomous AI coding agents
Open Source Needs Run-Forever Maintenance, Not More Dashboards
Open source projects do not fail because maintainers lack alerts. They fail because maintenance queues outgrow human attention. Run-forever CI changes that.
A Tour of lee101 Open Source Repos on Codex Infinity
Stock prediction, browser productivity, Go embeddings, games, audio tools, and Codex Infinity itself show why public repos need autonomous repair loops.
Small Open Source Repos Are the Best Testbed for Agent CI
Small public repositories expose real maintenance problems: stale dependencies, unclear setup, missing tests, and broken demos. Agent CI can fix those continuously.
GitHub Reliability Is Not Enough: Why CI Needs to Run Forever
GitHub is essential infrastructure, but source hosting and CI detection are not the same as self-healing delivery. Run-forever CI closes the gap.
GitHub Competitors Are Forges. Codex Infinity Is a Run-Forever CI System
GitLab, Forgejo, Codeberg, SourceHut, and Gitea all improve parts of the forge. Codex Infinity focuses on continuous autonomous fixing.
Bare Metal + Infinite Agents
Why bare metal fleets and continuous agents change the economics of software for indie teams.
Building an Infinite Coding Agent
How we forked OpenAI's Codex CLI and added --auto-next-steps and --auto-next-idea flags to create a fully autonomous coding agent that runs forever.