Ai-agents
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The Bottleneck Moved to Review: My SDLC After AI Writes Most of the Code
When a machine writes most of your diff, the constraint stops being how fast you type and becomes how well you review. Here is the SDLC I actually run — the provenance audit, the sandbox, the CI backs
Plan Once, Then Act: When the ReAct Loop Is the Wrong Harness for Small Local Models
On small local models, the standard ReAct loop has a failure mode nobody warns you about: the model calls one tool, declares victory, and stops. What we measured across 12 GGUF models in EdgeVox, why
NVIDIA OpenShell: Policy-Enforced Sandboxes for Autonomous Coding Agents
NVIDIA just open-sourced OpenShell — a policy-enforced sandbox for autonomous AI agents. Four security layers, a privacy router that decides which LLM sees which data, and hot-reloadable YAML policies
Securing Vibe-Coded Apps: A Practical Guide to Not Getting Hacked
Vibe coding is shipping apps faster than ever—but also shipping vulnerabilities at alarming rates. This guide covers real disasters, practical security measures from secret scanning to endpoint harden
Coding is not fun anymore?
Coding isn't what it used to be. AI implements faster than we can type, and agents are automating our tasks. But there's a bright side: we're evolving from implementors into architects and reviewers.
Agent Sandboxes: A Practical Guide to Running AI-Generated Code Safely
AI agents don't just talk—they execute code. This guide covers the essential sandbox technologies (microVMs, gVisor, WebAssembly) and platforms (E2B, Modal, Northflank) that keep your systems safe whi