A security engineer warns that AI agents are often given excessive permissions, creating a critical security gap. The engineer proposes six rules to mitigate risks, including granting minimal commands…
A user has issued a series of high-scope prompts to an AI assistant, requesting deep analysis of personal identity, prompt injection vulnerabilities, attack surface mapping, and career direction. The …
Autonomous coding agents with shell access, tokens, and no human oversight break traditional DevSecOps by acting at machine speed on external inputs, bypassing code review and CI gates. A developer ar…
GEDD is a new open-source framework that enables domain experts to systematically review AI agent behavior and convert their observations into automated evaluation criteria. The tool provides a web-ba…
Ota, a software execution governance platform, argues that tribal knowledge—hidden setup steps, undocumented commands, and unwritten rules—breaks repositories for AI agents. The company's tool, Ota, r…
Coding agents boost engineering output but create maintenance drift, a problem called 'agent hangover.' Daemons, persistent role-scoped agents, own recurring loops to keep systems in sync.…
Engineering career outcomes and infrastructure observability decisions now rely on the same causal attribution methods, according to a cross-domain analysis. Staff+ promotion committees demand Differe…
Ota has introduced a new approach to repository execution governance that surfaces blockers before any code runs, preventing wasted effort for humans, CI systems, and AI agents. The tool diagnoses mis…
The article explains why the developers of TestSmith rewrote their CLI tool from Python to Go, citing distribution friction as the primary motivation. By moving to Go, they achieved a single static bi…
This article provides a guide for building a self-hosted AI code review tool in Python using Ollama and a locally-run language model like CodeLlama or DeepSeek-Coder. The tool reads a git diff, sends …