At work we've been prompted about running Claude Code overnight. The suggestion came in form of a document that loosely outlined how this could be done...
#autonomous-coding
16 items
Overnight autonomous coding (www.reddit.com) Testing Local LLMs in Practice: Code Generation, Quality vs. Speed (www.reddit.com) Hello, I spent the last few months building an AI agent that autonomously writes Go code using local LLMs. The primary use case is log parser generation for SIEM pipelines.
Miii – Claude Code-level terminal workflows offline, no API keys (www.npmjs.com via hn) The local-first autonomous coding agent. Claude Code UX powered by Ollama.
Beekeeper, threat intelligence for autonomous coding agents (beekeeper.vercel.app via hn) Web site created using create-react-app
"China Outpacing Us on AI": Why Musk Bought an Autonomous Coding Startup (en.sedaily.com via hn) Elon Musk's SpaceX acquired Cursor parent Anysphere for $60 billion, betting on developer-focused AI amid rising token costs and surging Chinese open-source model use.
MiniMax M3 vs. GLM 5.2: Codegen comparison across autonomous coding tasks (thinkwright.ai via hn) Thinkbench, our custom evaluation harness, was used to drive both models through the same autonomous coding loop: read files, write files, run shell commands, and stop when the task was complete. The scored suite covered greenfield builds,…
Show HN: Drydock – VM Sandboxes for macOS Autonomous Coding Agents (github.com via hn) drydock drydock runs autonomous coding agents (Claude Code or OpenAI Codex, per-task selectable) on your own Mac — not someone's cloud — each task sealed in its own hardware-isolated VM. It starts from the assumption that the agent is alre…
Qode – The first AI agent that can generate 50k line codebases in one prompt (github.com via hn) Qode (q-cli) Node SDK v0.1.0 MIT Qode is a terminal-based autonomous coding agent for long-running tasks and massive codebase development. It operates directly in your terminal with a rich TUI, connects to multiple LLM providers, and orche…
Autonomous Long-Running Coding Agents (nlp.elvissaravia.com via hn) Autonomous Long-Running Coding Agents What is the big deal with loop engineering and autonomous long-running agents. Autonomous coding is moving from better prompting to better control systems.
Amdahl's law for AI agents (electric.ax via hn) Multi-agent systems are delivering real results. Geoffrey Huntley's Ralph Loop runs autonomous coding agents in a while-loop until every PRD item is complete.
Show HN: Teleport-env – <500ms stateful rollbacks for AI agents via CRIU (github.com via hn) Teleport-Env An ultra-fast, OS-level snapshot and rollback sandbox designed for autonomous coding agents, Monte Carlo Tree Search (MCTS), and reinforcement learning. The Problem Coding agents need environments to test generated bash comman…
Eval/Verifiability for iOS Apps in Claude Code (www.reddit.com) I've been spending time lately on autonomous coding loops for Claude. If the software is easily verifiable, like an API, you can create evals for that and set Claude to build it.
Does it make sense to combine 'everything-claude-code' with RTK (Rust Token Killer) for heavy logging? (www.reddit.com) Hey everyone, I've been tweaking my autonomous coding setup and I'm wondering if this hybrid approach makes sense, or if I'm just engineering a conflict. I use coding agents for complex, multi-file architectures—lately, a lot of Python ser…
The Trillion-Parameter Dilemma: MiMo-V2.5-Pro went open-source (1.02T params). Is self-hosting worth it when the API costs $70 for 387M tokens? (www.reddit.com) Xiaomi open-sourced MiMo-V2.5-Pro. 1.02 trillion parameters, 42B active (MoE), 1M context, MIT license.
Before the Pull Request: Mining Multi-Agent Coordination (arxiv.org) Autonomous coding agents now open millions of pull requests, yet large-scale studies find their PRs are produced faster but accepted less often - a coordination and trust gap that pull-request-level telemetry cannot explain. We argue the m…
Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents (arxiv.org) Production data integration is bottlenecked by repeated, lossy handoffs between data owners, engineers, and analysts who must collaboratively discover, structure, and query enterprise data. We present Data Intelligence Agents (DIA), a syst…