
How to Scan AI-Generated Code for Vulnerabilities Before Merge
Set up a CI gate with secrets scanning, dependency checks for hallucinated packages, and blocking SAST, enforced by branch protection on every pull request.
Claude Code, Codex, Cursor and other coding agents: how to use them, which to pick, and how to trust the code they write.
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Set up a CI gate with secrets scanning, dependency checks for hallucinated packages, and blocking SAST, enforced by branch protection on every pull request.

AI code bloat explained: how duplication, falling code reuse, and error-masking show up in GitClear, DORA, and CodeRabbit data, plus metrics to track.

Learn how explainable AI and reverse engineering help you audit AI-generated code, reduce cognitive debt, and meet compliance needs, with data from recent studies.

METR, DORA, and Faros data show AI can slow developers and hurt delivery stability. Learn five signs your AI coding stack adds output but not value.

An AI skill file (SKILL.md) is a markdown folder of instructions an agent loads on demand. Learn the format, token costs, and how it compares to MCP servers.

Can you build a full-stack app with no cloud compute? We tested WebContainers, WebVM, Pyodide, HiGHS-js, and WebLLM to find what works and where it breaks.

AI-generated code fails security checks 45% of the time, Copilot repos leak secrets 40% more often, and shadow AI adds $670,000 to breach costs, per 2025 data.

Learn how to review AI-generated code: verify behavior, check dependencies, scan for security flaws, and add monitoring. Includes data on why standard PR review fails.

Human review can't keep up with AI-generated code and math. Here's why formal, machine-checkable verification is becoming the real governance control.

Diagrams and canvases now generate working code. See how tldraw, Figma, and Coinbase's own agent turn sketches into shipped internal tools.

Developers are burned out by shallow AI prompting. The fix: redirect AI toward boilerplate and owned internal tools, not another rented SaaS subscription.

Bao and LLM-QO beat Postgres's planner by 20-70%. Here's whether a cheap, fine-tuned 4B model can be owned outright instead of rented from a vendor.

Cline Desktop and Whiteboard show what an open-source, agent-native IDE requires: model flexibility, self-hosting, and real governance controls.

AI coding tools hallucinate open-source packages, and attackers register them with malware. Here's how to secure AI-generated code before slopsquatting reaches production.

The research is consistent: AI code ships faster and breaks more. Here's the churn, duplication, and complexity toolkit that quantifies it.

AI hit IMO gold medal reasoning in 2025. That same machinery now verifies code correctness, changing the risk math behind build vs. buy decisions.

AI agents now outpace CI/CD, review, and staging. The data on the bottleneck, what an intent conflict is, and the five fixes teams are building.

AI made writing code cheap. Correctness is the expensive part now. Here's how to write specs that actually guide coding agents to build it right.

Losing an AI coding vendor means losing sealed chat history and reasoning, not just code. Here's how to keep that context portable and owned.

The best AI coding agents in 2026 don't autocomplete, they ship. A practitioner's guide to Claude Code, Cursor, Devin, and the local tools replacing SaaS.

How to build a mandatory security scanning gate into AI coding agent workflows, with SAST, SCA, human review, and logging for agents like GPT-6 Astra.

SKILL.md skills files are plain-text onboarding guides for AI agents. Here's how progressive disclosure works, why sprawl and security risks are real, and how skills pair with MCP.

Human review can't catch vibe-coded PRs anymore. Here's the mechanical pipeline, from mutation testing to canary releases, that tests AI code before it merges.

AI writes microcontroller firmware, decodes undocumented chips, and now designs PCBs from prompts. What it can and can't do, with real numbers.