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AI-assisted coding is redefining software development — from GitHub Copilot to AI-first IDEs, automated testing, AI code review, and the question of whether natural language will replace traditional programming.
GitHub's public conversation has shifted: the platform is now a primary attack vector in AI-era developer workflows, not a neutral code host.
Cursor has become the tool developers default to and attackers target — its ubiquity in multi-tool workflows is the same property that makes it a vector for supply-chain exploits.
AI coding agents have shifted the constraint from writing code to reviewing it — and most engineering teams have not reorganized around that shift.
The productivity gains from AI coding tools are real — but they are landing on developers as a role change nobody agreed to, not a workload reduction.
ByteDance's Trae harvested developer data while Cursor shipped with browser takeover vulnerabilities — the tools developers bet on are also the tools targeting them.