Plain-English guides and explainers on orchestrating command-line coding agents - the concepts, the workflows, and how the benchmarks actually work.
AI coding agents ended the era where typing speed limited software output. The new constraint is how many agents one person can supervise without dropping any. A founder with 25+ years shipping software on why the bottleneck moved from writing code to watching it get written.
GuidesA practical guide to running several Claude Code or Codex sessions at once on Windows: multiple terminals, git worktrees so sessions never collide, where the manual setup breaks down, and the purpose-built way to supervise a fleet.
ConceptsClaude Code inside DevThrottle is Claude Code: same commands, same flags, same behavior, same output. DevThrottle is scaffolding around the coding-agent CLIs, not a wrapper over them - and preserving native CLI behavior is a deliberate product commitment.
PricingPrepaid credits, a $5 minimum top-up, no subscription, and credits that never expire until used. Why DevThrottle prices hosted AI with a published rate card, shows every action cost to the cent, and changes prices loudly.
ConceptsRunning a fleet of coding agents feels like managing a team of developers - some you can brief by voice, others need a shared screen. Why the best agent workflow lets you switch between voice, full screen, and remote browser instead of forcing one mode.
NewsxAI's Grok Build is a new CLI coding agent: plan mode, subagents, native MCP, one-line Windows install. How to try it next to Claude Code with DevThrottle.
ConceptsAI coding agents like Claude Code and Codex run one task at a time in a terminal. An orchestrator is the layer that runs many of them at once and tells you which one needs you. Here is what that means and why it matters.
GuidesRunning three or four coding agents in parallel is the fastest way to ship - until you lose track of which one stalled or asked a question. A practical guide to running a fleet of agents and keeping them all moving.
BenchmarksTerminal-Bench measures how well AI agents complete real command-line tasks - fixing builds, wrangling git, configuring servers. Here is how the benchmark works, how to read the leaderboard, and what the scores actually tell you.