Results for “reproducible-builds”

Software CI assumes a git sha plus a lockfile determines the build.

Builds Retrieval-Augmented Generation pipelines with vector stores, chunking strategies, and reranking

Diagnose and fix slow MSBuild incremental builds by identifying why targets re-execute unnecessarily, covering common causes like missing Inputs/Outputs, volatile properties, and FileWrites registration.

Rebuild kernel-side artifacts (DTBs, OOT modules, kernel Image) from source changes under bsp_sources/ and produce a manifest for staging into a BSP image.

Add the /bl switch to MSBuild-based commands to generate binary logs for build diagnostics and performance analysis.

Generate pragmatic CI/CD pipelines from detected project stack signals, with fast baseline generation, repeatable checks, and environment-aware deployment stages.

PRISMA Scoping Review Pipeline

Design, implement, and validate reproducible machine-learning pipelines spanning data preparation, training, evaluation, registry, and deployment gates. Use when the user requests an ML pipeline, needs to turn model scripts into an orchestrated workflow, or provides pipeline components that must be connected safely.

Otimiza imagens Docker com multi-stage builds, reduz tamanho, acelera builds e aplica práticas de segurança, incluindo análise de vulnerabilidades com Trivy.

Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.

Retrieval-Augmented Generation pipelines — ingestion, chunking, embedding, vector stores, retrieval, evaluation. Use when building a RAG pipeline, choosing chunking strategies or embedding models, debugging retrieval quality or hallucinations, evaluating an existing RAG system, or scaling/migrating vector stores.

Optimize MSBuild build parallelism by configuring /maxcpucount, graph build mode, project references, and analyzing binlogs to reduce multi-project solution build times.

Composite skill — safely refactor a module end-to-end with sequencing, parallel implementation, post-refactor cleanup, and rationale capture. Chains refactor-plan (phased plan + rollback) → three-man-team (architect/builder/reviewer in parallel) → fix-the-suite post-refactor → adr-write → docs-sync. Use for non-trivial refactors that need both careful sequencing and durable record.

Design, tune, and evaluate production RAG pipelines with deterministic tools for chunking, pipeline design, and retrieval evaluation.

Run replication, robustness, and specification-sensitivity workflows for Stata projects. Use when a researcher wants to reproduce a result, rerun a pipeline, compare specifications, audit a do-file sequence, or check whether a claim is stable.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

CI/CD Pipeline Builder

Track build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.

Builds reusable CircleCI Orbs with the Orb SDK and orb-tools pipeline, packaging commands, executors, and jobs with automated semantic versioning.

Automate continuous integration, deployment, and post-deployment verification of developed solutions. Use when setting up CI/CD pipelines, deploying to staging/production environments, running automated tests in CI, or verifying deployments. Ensures reproducible builds and reliable deployments.