The Agentic Startup is a framework designed to transform Claude Code into an agile development team through spec-driven workflows. By providing specialized skills for specification creation, validation, and execution, the system allows users to move from high-level requirements to implemented code using structured decomposition tiers. It features parallel agent coordination, custom output styles like "The ScaleUp" for educational depth, and integrated quality gates to ensure project consistency throughout the development lifecycle.
- Includes a terminal statusline that monitors context usage and session costs in real time.
- Features an experimental Agent Teams mode designed for autonomous multi-agent collaboration on complex tasks.
- Implements a code ownership mandate where agents are required to fix any tests they cause to fail.
- Offers distinct output personalities, ranging from high-octane execution to calm, educational guidance.
- Includes a terminal statusline that monitors context usage and session costs in real time.
- Features an experimental Agent Teams mode designed for autonomous multi-agent collaboration on complex tasks.
- Implements a code ownership mandate where agents are required to fix any tests they cause to fail.
- Offers distinct output personalities, ranging from high-octane execution to calm, educational guidance.
Jay writes about a curated collection of over 200 ready-to-import n8n workflows that combine standard automation with modern LLM stacks, including vector databases and embeddings. These templates are designed to facilitate rapid prototyping or production deployment across various sectors such as finance, healthcare, and DevOps through simple JSON imports.
- Supported tech stacks include Pinecone, Weaviate, Supabase Vector, Redis, OpenAI, Anthropic Claude 3, and Hugging Face.
- Workflows can incorporate Slack alerts, Google Sheets logs, OCR, and HTTP polling.
- The repository invites community contributions to complete any unfinished templates.
- Supported tech stacks include Pinecone, Weaviate, Supabase Vector, Redis, OpenAI, Anthropic Claude 3, and Hugging Face.
- Workflows can incorporate Slack alerts, Google Sheets logs, OCR, and HTTP polling.
- The repository invites community contributions to complete any unfinished templates.
Alex Bitter writes that DoorDash is employing gig workers to manually load orders into its Dot delivery robots because the machines cannot navigate the gap between restaurant counters and curbsides. This pilot program aims to support merchants during busy periods while creating new earning opportunities for Dashers as companies work around current automation limitations.
- The Dot robot holds up to 30 pounds of cargo and is roughly the size of a baby stroller.
- Waymo has previously used human workers in Atlanta to close doors on self-driving cars.
- The Dot robot holds up to 30 pounds of cargo and is roughly the size of a baby stroller.
- Waymo has previously used human workers in Atlanta to close doors on self-driving cars.
Lightpanda is an original headless browser written in Zig, purpose-built for high-performance web automation and LLM-driven agents rather than being a fork of Chromium or WebKit. It prioritizes low memory consumption and execution speed by omitting unnecessary graphical rendering components while maintaining JavaScript support through the V8 engine. The system provides a CDP server to maintain compatibility with existing Puppeteer and Playwright workflows.
- Benchmark data suggests 9x faster execution compared to Headless Chrome.
- Includes an "Agent mode" that outputs deterministic PandaScript from natural language instructions.
- Offers native Model Context Protocol (MCP) support for seamless agent interaction.
- Benchmark data suggests 9x faster execution compared to Headless Chrome.
- Includes an "Agent mode" that outputs deterministic PandaScript from natural language instructions.
- Offers native Model Context Protocol (MCP) support for seamless agent interaction.
Skill Recorder converts screen activity into repeatable agent tasks by recording user sessions and reconstructing intent via GitHub Copilot. Captured data includes clicks, window changes, URLs, and optional narration to produce structured Skills or Automations.
- Built with Electron.
- Performs on-device transcription using Whisper for 99 languages.
- Limits cloud uploads to specific metadata during the analysis phase.
- Built with Electron.
- Performs on-device transcription using Whisper for 99 languages.
- Limits cloud uploads to specific metadata during the analysis phase.
Yanli Liu writes that harness engineering has emerged as a vital discipline where engineers focus on designing environments, feedback loops, and documentation structures for agentic systems rather than writing code manually. This shift enables highly automated development cycles to function reliably by emphasizing the constraints under which these models operate.
- OpenAI's "Harness Engineering" concept sparked this movement in February 2026.
- Anthropic released three separate papers regarding effective harnesses and managed agents.
- Advancements like Opus 4.7 continuously simplify necessary harness components as model capabilities improve.
- OpenAI's "Harness Engineering" concept sparked this movement in February 2026.
- Anthropic released three separate papers regarding effective harnesses and managed agents.
- Advancements like Opus 4.7 continuously simplify necessary harness components as model capabilities improve.
@0xabad1dea@infosec.exchange writes about an incident where AI-assisted mathematical proofs appear to exploit bugs in theorem provers, specifically highlighting a case involving the Collatz conjecture and Lean 4. The discussion explores whether large language models are inadvertently discovering software vulnerabilities through pattern matching or learning from existing technical discussions about those bugs, while broader debates address the inherent limitations of formal verification when facing hardware faults, modeling errors, and human mistakes in specifications.
direnv is an extension for your shell that automatically loads and unloads environment variables based on the current directory by checking for .envrc or .env files. This allows for project-specific settings, such as 12factor app variables or deployment secrets, without cluttering global profile files.
- Supports multiple shells including bash, zsh, fish, tcsh, elvish, powershell, murex, and nushell.
- Language-agnostic design implemented as a fast, single static executable.
- Uses sub-shells to safely capture environment changes for the active shell session.
- Supports multiple shells including bash, zsh, fish, tcsh, elvish, powershell, murex, and nushell.
- Language-agnostic design implemented as a fast, single static executable.
- Uses sub-shells to safely capture environment changes for the active shell session.
Splunk .conf in Denver Sept 2026: The core theme focuses on "Agentic AI"—the transition toward autonomous workflows in security, observability, and operations to manage increasing data complexity and digital risk.
**Sessions**
* **Powering the Rise of the Agentic Enterprise:** Transforming security/ops with scalable, trust-based AI workflows.
* **See Inside Your Agentic AI Applications:** Tracing Python agent interactions to detect hallucinations and tool failures.
* **The Future is Here: What’s New in Splunk Security:** Transitioning to an "Agentic SOC" via automated orchestration.
* **The Platform for Your Agentic Enterprise:** Unlocking cross-domain insights through unified data and AI.
* **What's New in Platform:** Using a unified data fabric for predictive, agentic operations.
* **5 ML Algorithms in Under 5 Lines of Code:** Reducing alert fatigue using simple SPL/MLTK implementations.
* **Accelerate Digital Resilience (Cisco & Splunk):** Maximizing ROI through integrated ecosystem use cases.
* **AI Troubleshooting and Remediation Agents:** Using AI SRE agents to accelerate root cause analysis.
* **Accelerate SmartStore Searches with VAST Data:** Reducing storage costs via InfiniteCache integration.
* **The Cisco & Splunk Partner Playbook:** Strategies for scaling business in the AI era.
* **Accelerating Your Journey to Agentic Observability:** Navigating 4 steps toward agent-driven monitoring.
* **A Compromised Account Alerting System:** Automating detection of suspicious user behavior.
* **Advanced Threat Detection (DSDL & RBA):** Using machine learning for behavioral risk scoring.
* **Advancing Security Operations with ESCU Innovations:** Leveraging new high-fidelity threat intelligence content.
* **Agentic Data Ingestion (Anthropic's Claude):** Automating Splunk Add-On development using GenAI.
* **Agentic Detection Posture Management:** Using AI to rapidly identify and close detection gaps.
* **Agentic Incident Command:** Deploying coordinated AI agent teams for full incident lifecycles.
* **Hands-on Agent Attack Analysis:** Building anomaly detections from raw agent telemetry.
* **Build Your Own SOC AI Agent (Workshop):** Hands-on guide to building custom agents with guardrails.
* **Triage and Response at Scale:** Using Triage and SOP Agents for automated incident response.
* **Agents Are Easy, Trust Is Hard:** Implementing governance in cohesive agentic operations via Cisco Data Fabric.
* **AI Assistant V2 Unlocked (Workshop):** Hands-on with Agent Mode and organizational knowledge integration.
**Sessions**
* **Powering the Rise of the Agentic Enterprise:** Transforming security/ops with scalable, trust-based AI workflows.
* **See Inside Your Agentic AI Applications:** Tracing Python agent interactions to detect hallucinations and tool failures.
* **The Future is Here: What’s New in Splunk Security:** Transitioning to an "Agentic SOC" via automated orchestration.
* **The Platform for Your Agentic Enterprise:** Unlocking cross-domain insights through unified data and AI.
* **What's New in Platform:** Using a unified data fabric for predictive, agentic operations.
* **5 ML Algorithms in Under 5 Lines of Code:** Reducing alert fatigue using simple SPL/MLTK implementations.
* **Accelerate Digital Resilience (Cisco & Splunk):** Maximizing ROI through integrated ecosystem use cases.
* **AI Troubleshooting and Remediation Agents:** Using AI SRE agents to accelerate root cause analysis.
* **Accelerate SmartStore Searches with VAST Data:** Reducing storage costs via InfiniteCache integration.
* **The Cisco & Splunk Partner Playbook:** Strategies for scaling business in the AI era.
* **Accelerating Your Journey to Agentic Observability:** Navigating 4 steps toward agent-driven monitoring.
* **A Compromised Account Alerting System:** Automating detection of suspicious user behavior.
* **Advanced Threat Detection (DSDL & RBA):** Using machine learning for behavioral risk scoring.
* **Advancing Security Operations with ESCU Innovations:** Leveraging new high-fidelity threat intelligence content.
* **Agentic Data Ingestion (Anthropic's Claude):** Automating Splunk Add-On development using GenAI.
* **Agentic Detection Posture Management:** Using AI to rapidly identify and close detection gaps.
* **Agentic Incident Command:** Deploying coordinated AI agent teams for full incident lifecycles.
* **Hands-on Agent Attack Analysis:** Building anomaly detections from raw agent telemetry.
* **Build Your Own SOC AI Agent (Workshop):** Hands-on guide to building custom agents with guardrails.
* **Triage and Response at Scale:** Using Triage and SOP Agents for automated incident response.
* **Agents Are Easy, Trust Is Hard:** Implementing governance in cohesive agentic operations via Cisco Data Fabric.
* **AI Assistant V2 Unlocked (Workshop):** Hands-on with Agent Mode and organizational knowledge integration.
Botasaurus is an all-in-one web scraping framework designed to help developers build undetectable scrapers that can bypass sophisticated bot detection systems like Cloudflare, Datadome, and BrowserScan. It simplifies the development process by providing high-level abstractions for browser automation, humane HTTP requests, and general data tasks. Key features include human-like mouse movements, browser-based fetch requests to significantly reduce proxy costs, and built-in utilities for caching, sitemap processing, and data cleaning.
Main topics:
- Bypassing Cloudflare WAF and Turnstile CAPTCHAs.
- Creating UI-based scrapers for non-technical end-users.
- Converting scrapers into standalone desktop applications.
- Scaling scraping infrastructure using Docker and Kubernetes.
- Cost-efficient proxy management and bandwidth reduction strategies.
Main topics:
- Bypassing Cloudflare WAF and Turnstile CAPTCHAs.
- Creating UI-based scrapers for non-technical end-users.
- Converting scrapers into standalone desktop applications.
- Scaling scraping infrastructure using Docker and Kubernetes.
- Cost-efficient proxy management and bandwidth reduction strategies.
