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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
AI DevKit - The Local Control Plane for AI Coding Agents
AI DevKit Team · 2026-06-19 · via Hacker News - Newest: "AI"

The future is many AI coding agents

Your AI coding agents are a team now. Give them a way to work together.

AI DevKit is the local control plane for Claude Code, Codex, Cursor, Gemini CLI, opencode, and Pi: one shared config, one console, local memory, cross-agent communication, and proof before done.

Built for developers already operating more than one coding agent.

Works with the agents you already use

Configure the coding agents you already use. Keep the operating model consistent as your stack changes.

Before and after

One assistant became many agents. Now they need a way to work together.

The new problem is orchestration

AI DevKit makes them operate as one local system.

Multi-agent coding is powerful, but without shared setup, memory, communication, and verification, it becomes operationally messy. AI DevKit sits above the tools instead of replacing them.

.ai-devkit.json

One setup for the whole agent team

Reconcile Claude Code, Codex, Cursor, Gemini CLI, opencode, Pi, and more from one project-local source of truth.

agent console

See every running agent

See what is running, inspect local sessions, and keep long-running agents out of scattered terminal tabs.

agent send

Send work instead of copy-pasting context

Send prompts, logs, test output, and review tasks to the right running agent or saved agent group.

local SQLite

Give agents memory without bloating prompts

Store conventions, decisions, and reusable fixes locally so agents search when context is actually needed.

verify

Make done require proof

Use workflow skills and verification gates so completion claims need fresh build or test output.

Start in 30 seconds

Create your agent control plane.

The init flow writes project-local files you can review and commit. Re-run it whenever your agent list, skills, or workflow changes.

npx ai-devkit@latest init --built-in
ai-devkit agent console
ai-devkit agent list
ai-devkit agent send "review this branch for release risk" --group reviewers
npm test 2>&1 | ai-devkit agent send --id codex --stdin
ai-devkit memory search --query "testing convention"