AI -Generated Code Security: Closing the Governance Gap
2 on November 24, 2025, defining build provenance in general terms with no AI -authorship category. In the EU, the DORA risk management regulation ...
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AI Governance Tools for Agent-Written Code
... shadow AI cataloging. A Gartner survey of 302 cybersecurity leaders across North America, EMEA, and Asia/Pacific, conducted from March through May ...
Shadow AIGovernance & Risk ManagementAI Agents & AutomationCybersecurity
AI Governance Framework for Engineering Orgs | Augment Code
The following table keeps governance terms testable before mapping controls to standards. Dimension, Policy, Framework, Risk management , Operational ...
Managing the Risk of AI-Generated Code: A CTO Playbook
IBM's 2025 report puts the average breach at $4.44 million globally and $10.22 million in the U.S. Shadow AI appeared in 20% of breaches; ...
From Assisted to Autonomous: How Far Can the Engineering Loop Close? | Augment Code
Teams can use AI benchmark testing as a merge- risk signal, since a 70.6% SWE-bench Verified score with Claude Sonnet 4 remains a benchmark result and ...
Ludicity's "AI Mania" essay hits Hacker News | Augment Code
The essay's closest counterpart is Thomas Ptacek's "My AI Skeptic Friends Are All Nuts" on the Fly.io blog, which takes the opposite position on LLM ...
Why Use Recall-First AI Code Review? A 2026 Guide
Approval queues have become the place where teams manage production risk . AI code review tools move automated analysis into pull requests. This ...
AI Agent Monitoring: 2026 Observability Guide - Augment Code
Failure signal, Exceptions, HTTP error codes, Semantic failures that return HTTP 200 ; Scope, Request-response cycle, Session-scoped reasoning chains.
How Async AI Agent Workflows Survive Failures - Augment Code
Tool execution failures with side effects are the highest-severity failure mode in write-heavy workflows: unless recovery logic records prior ...
How AI Changes the SDLC: A Six-Stage Guide | Augment Code
Agents increasingly replace, augment, or restructure work at each stage, raising throughput while exposing stability risk where review boundaries stay ...
AI SDLC Framework: A CTO Reference Architecture | Augment Code
Shadow AI in production repositories exposes gaps in governance architecture. A compromise of Amazon Q's VS Code extension planted a prompt to ...
Why AI Productivity Doesn't Create 10x Engineering Organizations | Augment Code
DORA finds AI boosts individual output but increases instability. Four failure modes show why org-level gains need orchestration, ...
Best Incident Management Software (2026) | Augment Code
The most supported AI use case in this 2026 set: AI-generated postmortems from auto-captured timelines. In my review, that use case had the ...
Best AI Agent Evaluation Tools for Production Teams (2026) | Augment Code
Where Agent Failures Actually Show Up. I spent the last several weeks testing evaluation tools against production agent workflows, and the gap between ...
Best AI Agent Evaluation Tools for Production Teams (2026) | Augment Code
Best AI Agent Evaluation Tools for Production Teams (2026). May 9 ... hallucination detection via purpose-built small models, and Augment ...
Hallucinations & FabricationMarkets & InvestmentAI Agents & Automation
Multi-Agent AI Systems: Architecture & Failure Modes | Augment Code
Learn how to build multi-agent AI systems that don't break: three architectures, the failure mode no framework catches, and a production ...
The 80% Problem: Why AI Agents Ship Fast But Create Hidden Technical Debt
The invisible 20% (non-functional requirements, failure modes, and architectural consistency) is systematically omitted because agents lack persistent ...
How to Debug Parallel AI Agents Without Going Insane | Augment Code
Anthropic has discussed challenges in building agentic systems, including the difficulty of managing failures in practice. By the time the failure is ...
Multi-Agent AI Architecture: Patterns for Enterprise Development | Augment Code
Failure Domain, Hub = single point of failure ; worker failures isolated. Observability, Highest of the three patterns; all states are visible at the ...