Agentic Coding Mag — Page 2

Agents ship code faster than QA can visually review it.

AI agents need specs written to eliminate ambiguity, not human judgment.

Assigning the right model to each agent role cuts costs and improves pipeline reliability.

AI agents ship code faster but break more, forcing DAST tools into pipeline gates instead of audits.

Leaderboard scores hide task mismatch and contamination that doom real-world performance.

Running coding LLMs offline requires rebuilding every layer of your stack.

MCP fetches live data; RAG indexes static docs—they solve different problems.

Structured specs prevent AI agents from guessing and drifting off course.

Agents now work openly in Slack, not alone in private tabs.

Four layers crack under agent-scale load, and most teams aren't prepared for the pressure.