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Agentic AI

175 articles tagged Agentic AI.

  1. · HMZE · 5 min read

    AI Transformation Is Cultural, Not Technical

    Bastian Buch shares lessons from leading AI transformation at Getaway Group, emphasizing that success depends on cultural shift and new operating models rather than just tool adoption. The discussion highlights the need for specialized agents, human validation harnesses, and a move from prompt-based usage to goal-driven orchestration.

  2. · Chain of Thought | AI Agents, Infrastructure & Engineering · 5 min read

    Securing Agentic AI at Enterprise Scale

    Cisco's rollout of 90,000 personal AI agents reveals critical strategies for securing autonomous systems. This analysis covers the shift to agent-speed defense, the necessity of domain-specific languages for governance, and how multi-model orchestration accelerates enterprise development.

  3. · Latent Space: The AI Engineer Podcast · 5 min read

    Supabase Strategy: Agentic Databases and Scale

    Supabase executives detail their pivot to agentic infrastructure, including the acquisition of Turso and the launch of Multigrass. The analysis covers product-led sales metrics, the shift to declarative schemas for AI agents, and the strategic implications of scaling from prototypes to petabytes.

  4. · Latent Space: The AI Engineer Podcast · 5 min read

    Anthropic IPO Efficiency and Agentic Platform Strategy

    Analysis of Anthropic's S-1 filing reveals a 5x increase in revenue per employee and a shift to GAAP profitability. The company is pivoting from a model lab to a hyperscaler, leveraging the Claude Managed Agents platform to solve CPU scarcity and security challenges in agentic workloads.

  5. · The AI Native Dev - from Copilot today to AI Native Software Development tomorrow · 5 min read

    AI Attackers Redefine Enterprise Security Strategy

    AI-driven attackers operate at machine speed, rendering traditional human-led defense obsolete. Enterprises must shift to autonomous remediation, high-fidelity detection, and deception-based containment to survive the new threat landscape.

  6. · Latent Space: The AI Engineer Podcast · 6 min read

    Supabase Strategy: Agentic Compute and Enterprise Scale

    Supabase announces Compute, Multigrass, and the acquisition of Turso to address the shift toward agentic development. The company leverages product-led sales and open-source community engagement to capture enterprise greenfield workloads while navigating the transition from dashboard-based to code-first infrastructure.

  7. · Latent Space: The AI Engineer Podcast · 5 min read

    Modal's AI Infrastructure Strategy and Capacity Economics

    Modal's CEO outlines the shift from static GPU reservations to dynamic, aggregated compute pools. The analysis covers the financial complexities of securing AI capacity, the rise of sandbox-based agentic workloads, and the strategic pivot toward multi-product infrastructure for the next generation of AI applications.

  8. · The AI Native Dev - from Copilot today to AI Native Software Development tomorrow · 5 min read

    Enterprise Agentic AI: Security Debt and Adoption

    Enterprise adoption of agentic AI is accelerating but faces a critical security gap. This analysis explores the shift from co-pilot to autonomous agents, the rise of the 'autonomous attacker,' and the strategic necessity of automating security remediation to manage technical debt.

  9. · Dev Interrupted · 6 min read

    OpenClaw 2.0: Multiplayer AI and Shared Context

    Vincent Koch of the OpenClaw Foundation details how multiplayer agentic workflows are transforming engineering. The discussion covers the shift from individual coding to collaborative agent environments, the critical role of capturing 'why' in decision-making, and strategies for enterprise adoption of high-velocity AI tools.

  10. · Kollegin KI · 5 min read

    AI Security, Energy Efficiency, and EU Regulatory Strategy

    An expert analysis of the current AI security landscape, focusing on the Hugging Face incident, energy-efficient computing architectures, and the strategic balance between EU regulation and innovation. The discussion highlights the shift from probabilistic to deterministic compliance in regulated industries and the economic realities of European AI startups.

  11. · The CTO Advisor · 5 min read

    Securing Agentic AI: Authority, Permissions, and Governance

    This analysis examines the security risks of agentic AI, focusing on unauthorized spending authority and background daemon vulnerabilities. It outlines a four-part governance framework for CTOs to manage agent permissions, ensure state exportability, and maintain behavioral traceability in enterprise environments.

  12. · Thoughtworks Technology Podcast · 6 min read

    Plio's Agentic CRM Strategy and AI Adoption

    Plio leverages agentic AI to transform its retail CRM into a proactive intelligence platform. This analysis details their shift from code generation to autonomous agent orchestration, highlighting the strategic value of cross-functional hackathons, evaluation frameworks for trust, and the evolving SaaS business model in the agentic era.

  13. · The Pragmatic Engineer Podcast · 6 min read

    Uber's AI-Native Developer Infrastructure Strategy

    An executive analysis of how Uber leverages a decade of platform engineering to deploy agentic AI. The company uses unified gateways, context graphs, and automated validation to shift engineering focus from code volume to feature velocity, ensuring scalable and secure AI integration across thousands of services.

  14. · The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis · 5 min read

    Meta Re-Enters Frontier AI Race With Wonder Models

    Meta's new Wonder and Wonderful models challenge OpenAI and Anthropic in the frontier AI race. Analysis of benchmark performance, pricing strategies, and the strategic pivot toward agentic personal assistants. Insights on hardware optimization and the shifting competitive landscape in 2026.

  15. · Dev Interrupted · 5 min read

    Spec-Driven Development Accelerates AI Engineering

    Linear B leaders detail how spec-driven development transformed their engineering workflow. They reduced complex project timelines from six months to one month. The strategy leverages AI agents to handle inner-loop tasks while humans focus on business alignment. This approach enables weekly delivery cycles and precise measurement of AI impact.

  16. · a16z Podcast · 5 min read

    AWS AI Infrastructure Strategy and Agentic Workflows

    AWS CEO Matt Garman outlines the $220 billion capital expenditure strategy driving the AI infrastructure build-out. The discussion covers GPU allocation for startups, the shift to agent-first cloud interfaces, and the strategic value of custom silicon like Trainium and Graviton in a competitive market.

  17. · The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis · 6 min read

    Rise of AI Moderates: Strategy Beyond Extremes

    An analysis of the emerging 'AI moderate' consensus, featuring insights from Francis Fukuyama, AI as Normal Technology, and Jeffrey Katzenberg. This brief explores the shift from binary doom/accelerationist narratives to actionable policy frameworks, focusing on agentic AI risks, economic constraints, and the integration of AI in creative industries.

  18. · Chain of Thought | AI Agents, Infrastructure & Engineering · 5 min read

    Enterprise AI Context Engineering Strategy

    An executive analysis of the emerging discipline of AI Context Engineering. This brief details how enterprises must shift from static semantic layers to dynamic context harnesses to ensure accuracy, governance, and trust in agentic data analytics. It highlights the critical gap between AI experimentation and scalable production deployment.

  19. · KI-Update – ein heise-Podcast · 5 min read

    AI Hallucinations, IPO Delays, and Agentic Standards

    An executive analysis of critical AI risks including military hallucination incidents, Anthropic's IPO strategy, and the standardization of agentic AI via MCP. The report details operational failures in defense sectors and emerging market trends in autonomous systems.