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CEO Jensen Huang said he wants employees to stop coding
3 months ago
- Nvidia has deployed OpenAI's Codex to all 30,000 engineers, aiming for maximum AI automation.
- Codex runs on GPT-5.3-codex, praised for handling complex workflows without losing context.
- Engineers highlight its context management and token efficiency as key improvements.
- CEO Jensen Huang emphasized AI's role in automating tasks, not jobs, and solving problems faster.
- Nvidia mandates AI integration across all software development phases, also using Cursor.
- Despite automation, Nvidia is expanding its workforce, hiring thousands and opening new offices.
My Claude Code Setup
3 months ago
- Pedro H. C. Sant'Anna shares his Claude Code setup for academic work, including lecture slides, R scripts, and Beamer-to-Quarto pipelines.
- The setup acts as a starter kit for academics, automating tasks like LaTeX/Beamer, R, and Quarto workflows with Claude Code.
- Features include a contractor mode orchestrator, Beamer → Quarto pipeline with 11-phase translation, and 10 specialized agents for tasks like proofreading and domain review.
- Implements an adversarial critic-fixer loop for quality checks across up to 5 rounds, ensuring outputs meet quality standards.
- Includes 19 slash commands and 17 context-aware rules for tasks like compiling LaTeX, proofreading, and data analysis.
- Supports research workflow skills such as literature synthesis, hypothesis generation, and manuscript review.
- Offers smart hooks like macOS desktop notifications and file protection for bibliography and settings.
- Encourages a plan-first workflow with continuous learning and corrections persisted in MEMORY.md across sessions.
- Provides a research exploration workflow with a structured sandbox for prototyping and simplified orchestrator for R/research.
- Automates session log enforcement and Beamer-Quarto sync via auto-loaded rules.
- Getting started involves cloning the GitHub repo and using the starter prompt to adapt the workflow to your project.
The Final Bottleneck
3 months ago
- Historically, writing code was slower than reviewing code, but now the pace of code creation is overwhelming.
- Open source and internal projects are struggling with an unsustainable number of pull requests, leading to confusion and inefficiency.
- The industrial revolution's textile industry parallels current software engineering bottlenecks, where solving one bottleneck reveals another.
- Automation in code writing necessitates automation in code review to maintain pace, but human accountability remains a challenge.
- The increasing speed of code creation raises questions about sustainability and the future role of human engineers in accountability.
- Despite advancements, human engineers remain the bottleneck due to the need for accountability in software development.
Most white-collar tasks will be automated by AI within 18 months
3 months ago
- Microsoft AI CEO Mustafa Suleyman predicts AI will achieve 'human-level performance' in white-collar tasks within 12-18 months.
- AI is already transforming software engineering, with AI-assisted coding becoming prevalent.
- Leaders like Stuart Russell and Dario Amodei warn of mass job displacement, with up to 80% unemployment possible.
- Sen. Bernie Sanders calls for a moratorium on AI data centers to protect workers, but the proposal faces opposition.
- Microsoft and other tech giants are heavily investing in AI, driving rapid workplace automation.
Flood Fill vs. The Magic Circle
3 months ago
- The 'flood fill' concept in digital automation is compared to the paint bucket tool in image editing, suggesting AI could automate many digital tasks.
- The 'magic circle' is introduced as a concept from game studies, representing constrained spaces where certain rules apply, like in chess or legal systems.
- AI's magic circle is defined by computation: symbols in, symbols out, limiting its interaction with the physical world.
- Physical world complexities, like printer jams, act as barriers to digital automation, highlighting the limitations of AI in non-digital spaces.
- Examples like sewing machines and olive harvesters show how automation often requires redesigning tasks rather than simply automating them.
- The article suggests practical implications: considering the physical in work, keeping systems offline to avoid digital adversaries, and regulating AI's interaction with the physical world.
- The conclusion reflects on the internet's temporary dominance and the enduring, unautomated nature of the physical world.
GitHub - steipete/gogcli: Google Suite CLI: Gmail, GCal, GDrive, GContacts.
3 months ago
- gogcli is a fast, script-friendly CLI for various Google services including Gmail, Calendar, Drive, Docs, Sheets, and more.
- Supports JSON-first output, multiple accounts, and least-privilege authentication.
- Features include email tracking, calendar event management, document export, and task management.
- Allows secure credential storage using OS keyring or encrypted on-disk keyring.
- Supports auto-refreshing tokens and least-privilege auth with --readonly and --drive-scope options.
- Can be installed via Homebrew, AUR, or from source.
- Includes commands for managing OAuth credentials, service accounts, and domain-wide delegation.
- Offers detailed documentation for setup, usage, and integration testing.
If AI writes most of the code, understanding codebases becomes the bottleneck
3 months ago
- Explore public architecture analyses or analyze any public GitHub repo.
- OpenClaw: Personal AI assistant for any OS/platform.
- n8n-io: Fair-code workflow automation with AI capabilities, 400+ integrations.
- Ollama: Get started with various AI models like Kimi-K2.5, GLM-5, etc.
- LangGenius: Production-ready platform for agentic workflow development.
- LangChain-AI: Platform for reliable agents.
- Mermaid-JS: Generate diagrams from text like flowcharts or sequence diagrams.
- Karpathy: Simplest, fastest repository for training/finetuning medium-sized GPTs.
- ModelContextProtocol: Python SDK for Model Context Protocol servers/clients.
- Moonshine-AI: Fast and accurate ASR for edge devices.
- LMNR-AI: Open-source observability platform for AI agents (YC S24).
- A2AProject: Python SDK for Agent2Agent (A2A) Protocol.
- GitHub: Contains community-submitted curations.
- Bayzhan8: Dynamic Matching with Simulator + Policy Testing.
- Sapshayan-JPG: No description provided.
- KBadr49: BanditLab toolkit for fast algorithmic experiments in bandit-theory.
- KBadr49: Embedded Systems 2025 Coursework.
- Chingizof: PPO-based AI player in Settlers of Catan.
PeppyOS: A simpler alternative to ROS 2 (now with Python support)
3 months ago
- PeppyOS is an open-source robotics framework simplifying robot development from prototype to production.
- It supports modular node-based architecture for sensors, actuators, AI, and controllers via configuration files.
- Features include multi-language support (Python/Rust), low-latency communication, and Rust-based performance optimization.
- Enables quick deployment (15-minute setup) and scales for fleets with orchestration, monitoring, and updates.
- Sample configuration shows a 'robot_brain' node interfacing with camera, LiDAR, and arm controllers.
AI made coding more enjoyable
3 months ago
- AI makes coding more enjoyable by handling tedious tasks like error handling and input validation.
- AI assists in writing tests by following initial test designs and generating subsequent test cases.
- AI is not yet trusted for copy-pasting code due to potential tiny errors.
- Recent tools have significantly reduced the tedious aspects of software engineering.
Show HN: Fostrom, an IoT Cloud Platform built for developers
2 months ago
- Monitor and control fleets of devices using Device SDKs, Type-Safe Schemas, and Programmable Actions.
- Integrate easily with Python, JavaScript, and Elixir SDKs, HTTP, and MQTT for devices and gateways.
- Validate payloads with schemas to ensure safety and consistency.
- Run JavaScript in response to messages to trigger real-world effects.
- Process device mail sequentially with predictable ordering and back-pressure.
- Inspect packet history, activity graphs, and fleet health in a unified dashboard.
- Collect telemetry, automate with Actions, and export data to analytics pipelines.
- Coordinate large systems like pumps, lights, and climate control in farms.
- Stream sensor data reliably and trigger alerts when thresholds are crossed.
- Monitor research experiments and gather clean data for analysis.
Show HN: SkillForge – Turn screen recordings into agent skill files
3 months ago
- SkillForge records your actions while performing a task and extracts each action.
- It creates a clean, step-by-step workflow that can be edited or restructured using AI.
- The recorded workflow can be exported as SKILL.md and used in any agent framework.
- Once recorded, the AI agent can replay the task autonomously.
- SkillForge can automate tasks like spreadsheet updates, CRM entries, form submissions, and more.
- It is useful for IT tasks like user provisioning, software deployments, and backups.
- Also beneficial for HR tasks such as expense reports, payroll entries, and onboarding flows.
- Can be used for data-related tasks like web scraping, competitive analysis, and benchmarking.
- Helps in creating precise, replayable instructions for onboarding new team members.
- No coding or complex setup is required to start building skills for your agent.
GitHub - PowerShell/PowerShell: PowerShell for every system!
2 months ago
- PowerShell is a cross-platform automation and configuration tool for Windows, Linux, and macOS.
- This repository focuses on PowerShell 7.x and higher; issues for Windows PowerShell 5.1 should be reported via the Feedback Hub app.
- PowerShell supports structured data formats like JSON, CSV, and XML, and includes a command-line shell and scripting language.
- New users are encouraged to review the getting started documentation.
- PowerShell is supported on multiple platforms, and installation methods vary by platform.
- GitHub Discussions is used for community discussions unrelated to code, with the expectation that community members drive these discussions.
- The PowerShell community can be engaged via the PowerShell Virtual User Group.
- Contributors should start with the Contribution Guide and check the PowerShell-RFC repository for design proposals.
- PowerShell is licensed under the MIT license, and container images are now maintained by the .NET team.
- Telemetry, governance, security policies, and a code of conduct are documented for the project.
Show HN: Eliezer – Tiny (~7K LOC) Self-Hosted AI Agent (PWA, Self-Editing)
2 months ago
- Eliezer is a compact, self-modifying AI agent that runs continuously on your phone.
- Unlike chatbots, Eliezer remembers context, executes tasks, and builds things even when you're not actively using it.
- Features include interactive widgets, scheduled tasks, SQLite persistence, and push notifications via PWA.
- Eliezer can modify its own tools and capabilities, allowing users to add features simply by asking.
- Open source (MIT) and self-hostable, giving users full control over their data and server.
- Comparatively, Eliezer offers continuous operation, full self-modification, and a smaller, more understandable codebase (~7K lines) than alternatives.
- Built by Victor as a personal project, Eliezer is designed to be fully controllable and user-owned.
Show HN: Cryphos – no-code crypto signal bot with Telegram alerts
2 months ago
- Live Signal Generation for trading with clarity.
- Professional-grade market intelligence delivered instantly via Telegram.
- 57 Active Users with 99.9% Uptime and 9 Indicators.
- Signal latency under 100ms for lightning-fast delivery.
- Features include Precision Targeting, Deep Analytics, and Risk Management.
- 24/7 Monitoring and Multi-Timeframe analysis capabilities.
- Three-step process: Configure Strategy, Backtest & Validate, Deploy & Monitor.
- Supports major indicators like RSI, MACD, Bollinger Bands, and more.
- Includes tools for Smart Money, Volume, Support & Resistance, and Funding Rates analysis.
Trellis AI (YC W24) is hiring deployment lead to accelerate medication access
2 months ago
- AI agents process billions in therapies annually across all fifty states.
- Automates document intake, prior authorizations, and appeals to streamline healthcare operations.
- Classifies medical referrals and understands chart notes for accurate coverage determinations.
- Spinout from Stanford AI Lab, backed by YC, General Catalyst, and others.
- Reduces time to treatment by over 90% and improves prior authorization rates.
- Converts unstructured documents into clean, structured data in EHRs.
- Targets reducing administrative costs, which account for over 20% of U.S. healthcare spending.
Ralph Wiggum Explained: Stop Telling AI What You Want – Tell It What Blocks You
2 months ago
- The Ralph Wiggum technique for Claude Code involves writing a prompt and letting AI work autonomously, but often results in incomplete or non-functional outputs.
- The issue lies not in the AI but in the criteria set for success; vague criteria lead to vague results.
- Instead of 'better prompts,' the focus should be on designing binary, verifiable constraints that the AI can clearly meet or fail.
- Constraints should be things a script can check, like build success or file existence, rather than subjective measures like 'good UX.'
- Examples of converting wishes into constraints include replacing 'works on iOS' with 'dotnet build -f net10.0-ios exits 0.'
- Setting tight, clear criteria reduces iteration count and cost, while vague criteria do the opposite.
- Limitations include aesthetic judgments, performance at scale, security vulnerabilities, business logic correctness, and integration complexity, which require human review.
- The key takeaway is that Ralph Wiggum is a loop with a termination condition; success depends on clear, binary constraints.
Don't run OpenClaw on your main machine
2 months ago
- OpenClaw is a self-hosted AI agent that connects to messaging platforms like WhatsApp, Telegram, Slack, and Discord.
- It can execute shell commands, browse the web, read/write files, and call APIs on your behalf.
- OpenClaw exploded in popularity, reaching over 215k GitHub stars in weeks.
- Running OpenClaw on your main machine is risky due to its deep access to system resources.
- Security concerns include exposed instances, prompt injection attacks, and malicious plugins.
- OpenClaw's capabilities include shell execution, browser automation, file operations, and 100+ service integrations.
- It has persistent memory and can run scheduled tasks autonomously.
- OpenClaw's architecture grants it root-like access, making it a security risk if compromised.
- Prompt injection is a major issue, as LLMs can't reliably distinguish between legitimate and malicious instructions.
- Real vulnerabilities have been found, including CVE-2026-25253 and 21,000+ exposed instances.
- Isolation options include Docker, dedicated hardware, or a cloud VM for better security.
- Setting up OpenClaw on a cloud VM provides strong isolation and limits the blast radius if compromised.
- SkyPilot simplifies provisioning and managing OpenClaw on cloud VMs with a single YAML file.
- Running OpenClaw on a cloud VM keeps personal credentials and data safe and allows for easy teardown.
- Cost of running OpenClaw on a cloud VM is reasonable, with options to stop instances when not in use.
- Persistent storage options include S3 buckets or rsync for backing up OpenClaw's state.
Building an Agentic Bug Bounty Hunter on a Raspberry Pi 5
2 months ago
- Mass automation in bug bounties can lead to noise without proper target understanding and tuning.
- Agents are used as quality gates to overcome automation brittleness and improve recon data quality.
- A tiered model approach is employed: Opus for strategy, Sonnet for execution, Haiku for lightweight tasks, and deterministic workers for non-model tasks.
- The orchestration loop involves Python-controlled decisions, with Opus orchestrating actions like recon, test, authenticate, research, note, or done.
- A knowledge graph system is implemented to build relationships between findings, endpoints, and tech stacks for better decision-making.
- Semantic similarity via pgvector helps in reusing past findings and knowledge, enhancing the system's learning over time.
- Custom tooling and strict role-scoped tools ensure controlled and efficient operations.
- Epochs and timeouts are used to manage runs, allowing for comparison and improvement tracking.
- Bounded context snapshots and queueing mechanisms ensure focus and efficiency in operations.
- The system includes hardware like a Pi 5 with NVMe SSDs and an e-ink display for real-time status monitoring.
I turned an old Stadia gamepad into a vibe coding controller
2 months ago
- Converted an old Google Stadia controller to control Codex for coding actions.
- Project started as a one-night hack and became a functional tool.
- 70% of a recent coding session was done using the controller.
- Benefits include reduced keyboard use and natural-feeling Codex actions.
- Future plans include expanding the setup for other apps and updates.
Have We Forgotten How to Design?
2 months ago
- Waymo partners with DoorDash to manually close car doors left open by passengers.
- Criticism of Waymo's inability to automate door closing despite advanced self-driving technology.
- Comparison to existing technologies like power-sliding doors that can automate door operations.
- Reflection on the tech industry's tendency to overlook obvious solutions in favor of complex implementations.
- Example given of Dropbox's unnecessary network access request for local file syncing.
- Discussion on the shift in designer roles from problem-solving to serving company directives.
- Critique of the 'move-fast-and-break-things' approach leading to suboptimal solutions.
- Irony noted in Waymo's reliance on human intervention despite its automation premise.
- Comparison to scooter companies needing human intervention to redistribute scooters.
- Suggestion to focus on moving people collectively rather than individual vehicles.

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#automation

CEO Jensen Huang said he wants employees to stop coding

My Claude Code Setup

The Final Bottleneck

Most white-collar tasks will be automated by AI within 18 months

Flood Fill vs. The Magic Circle

GitHub - steipete/gogcli: Google Suite CLI: Gmail, GCal, GDrive, GContacts.

If AI writes most of the code, understanding codebases becomes the bottleneck

PeppyOS: A simpler alternative to ROS 2 (now with Python support)

AI made coding more enjoyable

Show HN: Fostrom, an IoT Cloud Platform built for developers

Show HN: SkillForge – Turn screen recordings into agent skill files

GitHub - PowerShell/PowerShell: PowerShell for every system!

Show HN: Eliezer – Tiny (~7K LOC) Self-Hosted AI Agent (PWA, Self-Editing)

Show HN: Cryphos – no-code crypto signal bot with Telegram alerts

Trellis AI (YC W24) is hiring deployment lead to accelerate medication access

Ralph Wiggum Explained: Stop Telling AI What You Want – Tell It What Blocks You

Don't run OpenClaw on your main machine

Building an Agentic Bug Bounty Hunter on a Raspberry Pi 5

I turned an old Stadia gamepad into a vibe coding controller

Have We Forgotten How to Design?