AI Agent Approval Prompts Are Not Authorization
AI agent approval prompts need scoped authority, risk lanes, audit logs, expiry, and revocation so humans approve concrete actions, not fluent requests.
AI & TechnologyThoughts on design, development, AI infrastructure, and building products.
AI agent approval prompts need scoped authority, risk lanes, audit logs, expiry, and revocation so humans approve concrete actions, not fluent requests.
AI & TechnologyAI coding agents overwhelm reviewers with giant diffs. Smaller review surfaces keep engineers engaged, verification-focused, and accountable before merge.
AI & TechnologyAI code review needs independent agents that preserve dissent, validate findings, route uncertainty to humans, and re-review fixes before teams merge PRs.
AI & TechnologyAI malware analysis needs evidence packets: hashes, commands, indicators, and claim-to-evidence trails matter more than confident agent summaries.
AI & TechnologyAI agent monitoring should catch decisive errors during a run, not after failure. Runtime intervention turns traces, policies, and alerts into safe pauses.
AI & TechnologyMCP tools need action-level authorization: bearer-token validation must lead to per-tool, per-role, and per-action capability checks before agents act.
AI & TechnologyAI agent config security belongs in supply-chain review: hooks, editor tasks, install scripts, MCP files, and plugins can execute code before you notice.
AI & TechnologyAI agents should call trained machine-learning models as tools instead of asking an LLM to guess prices, risk scores, forecasts, or classifications.
AI & TechnologyAI agent ownership links every autonomous action to the account, session, scope, and operator who can stop it, review it, and accept responsibility.
AI & TechnologyCodex hooks now span twelve lifecycle events behind hash-based trust review. The config shapes, blocking mechanics, and control system the agent harness needs.
AI & TechnologyAgent skills, MCP servers, prompts, hooks, and commands now behave like dependencies. Teams need manifests, lockfiles, policy gates, review, and rollback.
AI & TechnologySemble turns code search into a context-budget problem: hybrid retrieval, ranked snippets, and token savings beat grep-and-read loops for coding agents.
AI & TechnologyTechnical writing published at Introl
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