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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.

Scale AI with Supermicro’s Data Center Building Block Solutions®. A modular architecture integrating GPUs, networking, racks, infrastructure, software, and services to reduce costs, increase flexibility, and accelerate deployment from system to data center scale.

A data center where compute and memory pool dynamically. Where millions of resources operate as one machine. Where architecture is defined by the needs of the workload, not the limits of connectivity. This vision of all-optical infrastructure points to a future with unprecedented scale, flexibility, and performance. Watch the closing moments from Marvell’s COMPUTEX 2026 keynote to see what’s possible. Watch the full keynote:

Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. Model weights: Tech report: Tech blog:

On July 14, the Department of the Navy released its Strategy to Weaponize Data and AI: a roadmap to an AI-first Fleet that can "out-learn and out-fight any adversary." Within a week, our team answered with working code. The Navy's new strategy frames data and AI as warfighting assets on par with weapons and munitions, and it prizes one thing above all: turning information into decisions, fast. That is exactly the problem our GURU architecture was built for. So when two Navy SBIR topics called for AI-driven maritime tracking and adaptive sensor management, we pointed at the sea what we had already proven in orbit. The video below shows both prototypes, back to back. First, GURU MarineGuard: 787 real vessels from public NOAA data, replayed through a cascade of learned models that forecast each ship's movement, flag deviations from its learned pattern of life, and hand analysts a ranked review queue instead of an unfiltered flood. The full stack runs on a laptop. Second, an adaptive sensor resource manager add-on to MarineGuard: it measures each radar's marginal contribution to each track, projects the consequence of releasing a sensor task before proposing it, and then waits for the operator. Advisory by design. Both inherit their DNA from OrbitGuard, our system watching 14,710 space objects at the SDA TAP Lab with 94 to 96 percent maneuver-detection accuracy. Same architecture, new domain, days not years. These are prototypes, and we say so on screen. The trajectories are real. The sensor numbers are deliberately notional. No score is a threat call. Showing your assumptions is a capability, not a caveat, and national-security guidance now demands exactly that: AI that is reliable, robust, steerable, and controllable under rigorous test and evaluation. Our doctrine was written for that bar. Learned models accelerate and rank. Validated references confirm and decide. Humans stay in command. One architecture. Space, maritime, autonomous engineering, regulated nuclear autonomy. This is simply the latest sign of what this team fields, fast, where mistakes are not allowed. Sailors, engineers, program folks: what mission should GURU learn next? #DefenseTech# #ArtificialIntelligence# #MaritimeDomainAwareness#

Converting flat satellite maps into fully interactive 3D digital twins used to take weeks of manual 3D modeling and GIS engineering Now, a single tool can process geospatial satellite data and reconstruct the complete 3D geometry of any building on Earth in seconds Here is how the spatial extraction actually works: First, you select a structure on a standard satellite map. The software reads the footprint, elevation data, and height boundaries Next, it automatically generates a volumetric 3D wireframe mesh, rendering the physical layout in real time From there, you can apply a cross-section slice to cut through individual floors, revealing subterranean basements and foundation depth Finally, you can drop into a first-person view to physically navigate interior corridors, stairwells, and room layouts This bridges the gap between static geospatial map data and immersive 3D spatial simulation for architecture, urban planning, and spatial analysis

After 3-4 months of iteration, Open Minis — "possibly the best Agent app on your phone" — has stabilized into a mature architecture, now powering tens of thousands of users' daily workflows. Today we're open sourcing all of it: the full iOS and Android code. A real on-device AI agent: a native Linux shell, browser automation, extensible skills, persistent memory, and deep system integration. Now, fork it, feel free to build your own on-device agent now. 🤗

Prada presents a new collection for the Qixi Festival 2026, featuring Prada Ambassadors TransfOrm Project, together with Zhang Yifan. Through architecture, gesture and material, the film reflects on the ways in which connection is perceived rather than declared. Garments, like the spaces they inhabit, become vehicles for the invisible relationships that bind us across time and distance. Discover more: #Prada# #TransfOrmProject# #ZhangYifan#

Take a night walk through Xiahaoli, a historical and cultural block in southwest China's Chongqing, and embrace its unique charm as the traditional hillside architecture meets modern vibes.