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Implement production-ready Retrieval-Augmented Generation (RAG) systems to ground LLM responses in external knowledge and proprietary data.
Streamlines project initialization with standardized architecture patterns, discovery questions, and optimized technology stacks.
Audits applications and data systems to identify GDPR compliance gaps and generate actionable remediation reports.
Guides architectural planning, technology selection, and risk identification to prevent technical debt before implementation.
Transforms abstract problem definitions into concrete, measurable objectives to ensure project success and prevent understanding debt.
Generates production-ready CI/CD workflows for automated testing, Docker builds, and multi-environment deployments.
Profiles and optimizes Python code to eliminate bottlenecks, reduce memory usage, and enhance application execution speed.
Defines the core purpose and objectives of a development task through structured interviews to prevent understanding debt.
Initializes Probitas project environments and installs necessary CLI tools for E2E testing and automation.
Implements high-performance asynchronous logic in Python using asyncio and non-blocking concurrency patterns.
Architects and implements backup strategies, disaster recovery runbooks, and high-availability infrastructure patterns.
Generates standardized scheduler jobs in the adapter layer with consistent packaging, batch configurations, and safe retry logic.
Designs robust multi-cloud systems by integrating services across AWS, Azure, and GCP while avoiding vendor lock-in.
Automates the setup and management of database replication, failover, and high availability for PostgreSQL and MySQL.
Orchestrates specialized search agents to gather internal codebase insights and external technical documentation efficiently.
Automates the generation of comprehensive Application Performance Monitoring dashboards for Grafana, Datadog, and other observability platforms.
Configures comprehensive Prometheus monitoring for infrastructure and applications through metrics collection, scraping, and alerting rules.
Orchestrates centralized knowledge capture by routing development learnings to specialized domain-specific memory files.
Generates comprehensive security compliance reports for standards like PCI DSS, HIPAA, and SOC 2 through automated data gathering and formatting.
Streamlines the creation, registration, and maintenance of modern WordPress Gutenberg blocks using industry-standard patterns and metadata.
Builds high-performance GraphQL APIs with comprehensive schema design, real-time subscriptions, and optimized data fetching.
Generates comprehensive GraphQL schemas, resolvers, and type definitions from data models to accelerate API development.
Transforms ambiguous user goals into structured, execution-ready briefs with clear constraints and acceptance criteria.
Automates browser interactions and web testing using Playwright CLI and specialized interaction templates.
Streamlines the implementation of Expo and Firebase push notification systems for cross-platform mobile apps.
Automates the creation and optimization of container-native CI pipelines using Harness Test Intelligence and cloud infrastructure management.
Automates deep code reviews, algorithm design, and architectural analysis using high-reasoning Codex models.
Streamlines mobile app development by automating Expo project setup, EAS builds, and over-the-air updates.
Optimizes and generates complex MongoDB aggregation pipelines for sophisticated data transformation and analysis.
Automates the creation of standardized git commits using the Conventional Commits specification and intelligent logical change splitting.
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