软件开发
1,831 个结果
- Checkout Credential ReviewGitHub官方Review code that performs git or gh operations against repository checkouts in gh-aw, checking that the right credentials are available at the right time and that sparseness, shallowness and credential-free factors are properly considered.
- Client CompatibilityGitHub官方Platform detection and adaptive spawning for CLI vs VS Code vs other surfaces
- Coordinator Init ModeGitHub官方The complete two-phase Init Mode protocol the Squad coordinator runs when no team exists yet in the current repo. Phase 1 = propose the team (no files created, wait for user confirm). Phase 2 = create .squad/ scaffolding, casting state, .gitattributes for merge drivers, and the always-on built-ins (Scribe, Ralph, Rai, Fact Checker).
- Developer Code OrganizationGitHub官方Code organization patterns, file structure guidelines, WASM build variants, and string processing conventions for gh-aw Go code.
- Distributed MeshGitHub官方How to coordinate with squads on different machines using git as transport
- Github Discussion QueryGitHub官方Query GitHub discussions with jq filtering and reusable selectors.
- Github Issue QueryGitHub官方Query GitHub issues with jq filtering and reusable selectors.
- Github Labels QueryGitHub官方List GitHub repository labels with per_page pagination and name filtering support.
- Github Pr QueryGitHub官方Query GitHub pull requests with jq filtering and reusable selectors.
- Javascript RefactoringGitHub官方Split large JavaScript files into maintainable modules safely.
- Otel QueriesGitHub官方Analyze gh-aw OpenTelemetry traces from JSONL mirrors or OTLP backends.
- Ralph Two Pass ScanGitHub官方Cuts GitHub API calls by separating lightweight list scanning from full hydration
- Squad ConventionsGitHub官方Core conventions and patterns used in the Squad codebase
- Compute Sanitizer Diagnose Cuda BugsNVIDIA官方Detect and diagnose CUDA correctness bugs with NVIDIA Compute Sanitizer. Routes GPU memory errors, shared-memory data races, uninitialized-memory reads, and synchronization/barrier bugs to the right sub-tool (memcheck, racecheck, initcheck, synccheck) and explains how to build, run, and read the report.
- Cuopt Numerical Optimization APINVIDIA官方LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
- Cuopt Numerical Optimization API CNVIDIA官方LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++.
- Cuopt Numerical Optimization API CliNVIDIA官方LP, MILP, and QP (beta) with cuOpt — CLI only (MPS/LP/QPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from an MPS or LP file via command line.
- Cuopt Numerical Optimization API PythonNVIDIA官方Solve LP, MILP, QP (beta) with cuOpt Python API — linear/quadratic objectives, integer variables, scheduling, portfolio, least squares.
- Cuopt Numerical Optimization FormulationNVIDIA官方LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
- Cuopt Routing API PythonNVIDIA官方Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
- Cuopt Routing FormulationNVIDIA官方Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface.
- Cupynumeric InstallNVIDIA官方Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope.
- Doca BenchNVIDIA官方Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm.
- Holoscan App Debug Build RunNVIDIA官方Use when a concrete holoscan command in holoscan-applications or a standalone Module fails, hangs, regresses, or returns wrong output.