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Why spend months figuring it out when you can download what senior engineers already know? These are the exact frameworks and checklists we use on projects.
In-depth guides for AI strategy, compliance, and implementation
Risk classification, 20-item checklist, governance templates, and cost estimates
Real pricing data: PoC, production, retainers, hidden costs, and build vs buy
Decision matrix, framework comparison, TCO analysis, and implementation roadmap
15-step checklist for planning and executing a successful AWS migration. Covers assessment, security, and optimization.
Evaluate your organization's DevOps maturity across 5 key dimensions. Includes scoring guide and improvement roadmap.
Practical strategies to reduce your AWS/GCP/Azure spend by 30-50%. Reserved instances, right-sizing, and automation.
15-step checklist for planning and executing a successful AWS migration. Covers assessment, security, and optimization.
Evaluate your organization's DevOps maturity across 5 key dimensions. Includes scoring guide and improvement roadmap.
Comprehensive guide to securing your Kubernetes clusters. RBAC, network policies, secrets management, and more.
Design REST and GraphQL APIs that developers love. Covers versioning, authentication, error handling, and documentation.
Practical strategies to reduce your AWS/GCP/Azure spend by 30-50%. Reserved instances, right-sizing, and automation.
The template we use for M&A technical assessments. Covers code quality, architecture, security, and team evaluation.
In-depth research and analysis (email required)
A data-driven analysis of how technical debt impacts velocity, retention, and revenue. Includes a framework for quantifying debt in your organization.
Practical guide to building AI systems that comply with the EU AI Act. Risk classification, documentation requirements, and implementation patterns.
Why cloud migration delivers more than infrastructure savings. Speed, security, scalability, and talent acquisition benefits quantified.
Live sessions and recorded talks from our engineers
Live walkthrough of techniques for horizontal scaling, connection pooling, and performance optimization in production Node.js applications.
How we helped a FinTech company decompose a monolith into 12 microservices without downtime. Lessons learned and patterns that worked.
How to integrate LLMs into production workflows without creating a maintenance nightmare. Includes prompt engineering, caching, and fallback strategies.
Real-world AI implementations across industries
Automated extraction of structured data from invoices, contracts, and legal documents using LLMs.
AI-powered support agents that handle 60% of tier-1 tickets with human-quality responses.
Automated code review that catches bugs, security issues, and style violations before human review.
ML models that predict equipment failures 72 hours in advance using IoT sensor data.
Multi-stage content generation with quality checks, fact-verification, and brand voice consistency.
Real-time transaction scoring using ensemble models to detect fraudulent patterns with 99.7% accuracy.
Ready-to-use templates for engineering teams
Document and track architecture decisions with context, consequences, and alternatives.
Structured retro format with actions, owners, and follow-up tracking.
Step-by-step guide for handling production incidents, from detection to post-mortem.
Professional proposal template for engineering projects, including scope, timeline, and pricing.
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