AI in software engineering

How to Get Security Approval for AI Coding Tools: A Technical Governance Blueprint (2026)
Getting security approval for AI coding tools requires replacing verbal assurances with repository-level evidence: a live inventory of which models,...
Pre-Commit vs CI Quality Gates: When Fast-Shipping Moves The Checks Upstream
Teams that ship dozens of pull requests a week eventually run into the same wall: CI-stage quality gates turn into a queue. A developer opens a PR,...
Malicious intent - code agents
Detecting Malicious Intent Across AI-Generated Pull Requests: A Governance Framework for Engineering Leaders
No single pull request has to look malicious to create a serious security problem. One adds logging. Another introduces a background job. A third...
AI Code Review is not enough
AI Code Review Is Not Enough: How Engineering Leaders Should Gate AI-Generated Code
The easiest pull requests to approve are often the ones that deserve the closest inspection. AI-generated code tends to arrive well formatted, well...
Deterministic Static Analysis for AI Coding Workflows: How to Cut Token Cost Without Weakening Code Review
An AI coding agent opens a pull request. Another agent reviews it, searches the repository, reads a few irrelevant files, pulls more context into the...
Why Engineering Teams Keep Building In-House AI Code Review Tools, and What It Really Costs
LLMs made internal AI code review tools easy to prototype. They did, however, not make them easy to operate.

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