@birdabo Real talk. In smart contract security, I see AI-generated code that passes basic tests but crumbles under adversarial conditions.
The gap between "it compiles" and "it's secure" is where actual engineering knowledge lives. AI amplifies skill, it doesn't replace it.
@mattpocockuk From a security audit perspective: clean code with clear invariants lets AI catch real vulnerabilities. Bad codebases? AI hallucinates 'bugs' that are intentional workarounds. Good architecture isn't just maintainability — it's auditability.
@unusual_whales "Social permission" > compute as the bottleneck.
But "useful" isn't enough. Every AI agent with production access = new attack surface. Code execution, credentials, autonomous decisions — before anyone audits security.
Useful without safe is just a liability with good PR.
@kairo_security This highlights why static audits alone fall short. Contracts live in dynamic environments — new features, updated deps, evolving attack vectors. Continuous monitoring catches what snapshots miss. Security is a process, not a checkbox.
@AndreasSteno Services evolve from "build it" to "secure it." Security is the new https://t.co/OVUsa7HC9P evolve from "build it" to "secure it." Security is the new moat.
@_prashantnair@CNBCTV18News@AnthropicAI Not just margin compression — it's a security paradigm shift. Autonomous AI agents replacing human workflows = fast, scalable attack surfaces. Prompt injection, data exfiltration, privilege escalation across multi-agent systems. Nobody's pricing in agent security costs yet.
@saxena_puru This. Enterprise security isn't just code — it's threat intel, compliance, incident response, and years of domain context. AI agents accelerate dev, but vibe-coding a firewall rule is very different from understanding why it exists.
@tszzl Same in security auditing. One human reviewing 10K lines of Solidity hits fatigue fast. Agents running parallel invariant checks + fuzzing don't. The centaur phase is collapsing — humans are becoming reviewers of agent findings, not discoverers.
@mitchellh The real problem is defaults. "Open PR" should never be one-click for external repos. Agentic tools should treat OSS as someone else's house, not a sandbox. Gate PRs behind human review + test evidence by default.
@mitchellh Underrated security angle: slop PR floods are the perfect cover for supply chain attacks. Reviewer fatigue from closing garbage means the one PR with a subtle backdoor slips through. This isn't just a maintainer UX problem — it's an attack vector.
@burkeholland This. In smart contract security, AI finds code patterns fast but understanding protocol economics, cross-contract risks, and adversarial incentives needs deep domain knowledge.
The real gap: knowing WHAT to build and WHY it matters.
@embirico Huge for security auditing. Standardized skill paths mean sharable audit playbooks across agents — same .agents/skills/solidity-audit/ works in Codex, Gemini, Copilot. No more vendor lock-in for agent knowledge. Composability wins.
@sama From an auditing perspective, the biggest risk with AI coding agents is unscoped file system access. Curious how Codex handles permission boundaries for multi-repo setups.