与「cleva」相关的搜索结果

Taking care of family and friends back home isn’t just about the money you send. It’s the data that keeps them connected and the light that keeps them going. Cleva does it all for you, right from the U.S. #cleva# #getcleva# #clevaisliveintheus#

3B users is the goal. It might be ambitious but the infrastructure is being built. 7,000 equities. Hundreds of crypto. A gateway to millions of on-chain assets. 9 product categories. One account. No walls. 24/7. 36h with @heyibinance. The vision is clear. The proof is growing.

A Korean creator built a whole workflow around Mole. Codex runs it every morning at 9am and sends him a cleanup report. 332GB of worktree junk cleared, zero photos touched. The CLI is free and always will be. If you'd like something more polished with a bit more to it, there's the Mole Mac app. ps. the Korean narration is lovely, it sent me right back to the K-dramas I grew up watching 🙏 by @unclejobs_ai ·

开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

This Mole CLI release is almost all reliability work, on purpose. Refusals now explain themselves and print the fix. Dry run is fully dry. Stricter cleanup boundaries, hard deadlines on slow scans, Parallels VMs in disk analysis. Safer everywhere.