AI Coding Assistants

Today's Stories

1. 1

   Netflix Acquires Ben Affleck’s InterPositive To Develop AI Tools For Filmmakers

   Netflix Acquires Ben Affleck’s InterPositive To Develop AI Tools For Filmmakers

2. 2

   Agentic Loops: Why the Best AI Coding Workflows Are Loops, Not Prompts

   Agentic Loops: Why the Best AI Coding Workflows Are Loops, Not Prompts

3. 3

   Konxios, a local-first AI operating system that integrates multiple AI models and services, has entered public beta, allowing developers and creators to build and run custom AI agents with privacy controls on their own machines.

   Konxios v0.1.0 is now in public beta as an all-in-one AI workspace. It supports local models via Ollama and LM Studio, as well as cloud services like OpenAI, Anthropic Claude, and others. Users can build custom AI agents with specialized skills—code review, security auditing, documentation, data analysis—and run them either locally or in the cloud from a single interface. The tool addresses a core concern for developers and teams handling sensitive code and data: privacy. Because Konxios runs models and processes locally by default, with Docker isolation for each project and end-to-end encryption for stored data, users retain control over whether their work leaves their machine. This matters especially for teams that cannot risk proprietary code or internal data being sent to external cloud services.

   The product is free during the beta period. Konxios includes a native Telegram integration for managing tasks and controlling agents directly, with more integrations (Slack, Discord, GitHub, Notion, Linear, Jira) listed as coming soon. Downloads are available for macOS now, with Windows and Linux support coming later.

4. 4

   7,000 Langflow servers are under attack. LangGraph and LangChain have the same holes

   7,000 Langflow servers are under attack. LangGraph and LangChain have the same holes

5. 5

   A free book on operating AI coding tools (no signup, source on GitHub)

   A free book on operating AI coding tools (no signup, source on GitHub)

6. 6

   slash-agent brings an LLM coding assistant directly into your terminal—no background processes, no workflow interruption, running locally or via cloud APIs.

   slash-agent is a lightweight shell integration that lets you type /agent in Bash to invoke an LLM (via Ollama, OpenAI, or Azure OpenAI) to diagnose errors, edit files, and run commands. It captures your recent terminal history or tmux scrollback automatically, executes proposed commands in an interactive pseudo-terminal where you can confirm, edit, or refuse each action, and syncs directory changes and environment variables back to your parent shell when done. Most AI coding tools run in isolated subshells and cannot modify your current working directory or environment. slash-agent solves this by using a state synchronization protocol so the agent's changes (cd, export) carry back into your active session—keeping you in your terminal without breaking workflow. It consumes zero CPU or memory when not in use (no daemons or background processes), and supports both private local models (Ollama) and cloud services.

   Installation is a single curl command; the tool supports Bash, Zsh, Ksh, and Fish, plus WSL2 on Windows. You can preview agent actions with --dry-run, auto-confirm safe tasks with --yes, or steer each command interactively by typing y/n/e/c at a confirmation prompt. Critical commands (rm -rf, sudo) are not auto-confirmed by default to prevent accidental damage.