About
Our people and mission focus drive impact for our clients
Passionate delivery to ensure your success
We deploy small, focused teams whose sole focus is on helping your achieve your goals.
- Learn: Understand your strategic goal and key needs
- Plan: Establish an approach and build organizational consensus to confidently move forward
- Realize: Work hand in hand with your team to implement and refine the plan based on validated learning
We have a strong history of tackling difficult challenges head on and driving them to success. Our corporate approach thrives on constantly improving, so whether we have helped others with similar needs or are tackling a wholly new opportunity, we always bring an innovative and driven mindset.
Strategic Technical Consulting
We cut through hype and help you find impactful solutions to your mission
Software Delivery
Our expertise transforms software efforts with next level efficiency and best practices
Artificial Intelligence
We understand how to move AI from aspiration to reality
Open Source Driven
We start with open source solutions - contributing and leading several in the community, including founding and serving on the Steering Committee for Technology Brewery.
Services
We offer a full range of services from strategic planning to nuanced technical realization
Blended CTO
Expert ensemble tech leadership that adapts as you grow by scaling the right expert at the right time
Concierge Temp-to-Perm Teams
We recruit, mentor, and deliver—then seamlessly transition skilled talent into your organization
Strategic Roadmaps
Synthesize, communicate, and rollout a strategy to achieve your technology goals
Artificial Intelligence
Leverage data pipelines and machine learning with repeatable, enterprise-grade patterns
Infrastructure as Code
Repeatably capture and deploy holistic, fault-tolerant systems
Efficient Delivery
Ultra-efficient software delivery lifecycle (SDLC) patterns that emphasize impact over ceremony
We Live To Solve Your Most Critical Challenges
We focus on impact, not staff augmentation - let us help your strategy and delivery needs today!
Blog Posts
Read more about our general thoughts and approaches on our blog (opens in a new tab)
Running an Independent Tokenary Policy
Strategic Technology
Enlarge image: Rules-based token governance with tensioned metrics and self-adjusting budgets Read the full post: Running an Independent Tokenary Policy (opens in a new tab)Organizations should govern AI token budgets through pre-committed rules rather than discretionary decisions. A basket of interrelated metrics resists gaming better than single measures, and self-adjusting rules tied to demonstrated value prevent budget drift.
Tokenary Policy: Companies as Nations
Strategic Technology
Enlarge image: Govern your token supply like monetary policy Read the full post: Tokenary Policy: Companies as Nations (opens in a new tab)Organizations must deliberately choose how to govern their token supply, borrowing from monetary policy history. Rules-based policy asks the most of an organization and, in return, offers the most control over AI spending.
Tokens as the Monetary Supply of the AI Revolution
Strategic Technology
Enlarge image: Managing your tokenary policy to maximize AI impact Read the full post: Tokens as the Monetary Supply of the AI Revolution (opens in a new tab)Cheap tokens lead to bigger bills as inexpensive AI inference encourages broader experimentation through Jevons Paradox, driving up total consumption. Effective token management functions as monetary policy for enterprises, balancing adoption velocity against wasteful spending.
Thrown Into the Deep End (And Why We Didn't Drown): Our Internship at CodifyIQ
AI Delivery
Enlarge image: High school interns share their 8-day CodifyIQ experience Read the full post: Thrown Into the Deep End (And Why We Didn't Drown): Our Internship at CodifyIQ (opens in a new tab)Two high school seniors reflect on an intensive 8-day CodifyIQ internship — discovering that fundamentals matter more in the age of AI-assisted coding, and that code review and adapting to changing requirements are real-world superpowers.
OpenClaw Is the Napster of Personal AI
AI Delivery
Enlarge image: OpenClaw and the regulatory gray zone of personal AI Read the full post: OpenClaw Is the Napster of Personal AI (opens in a new tab)
OpenClaw sits in a Napster-style pre-enforcement window — demand for personal AI agents is real, but regulated, enterprise-ready alternatives will eventually take over.
Improve Team Culture by Term-Limiting Your Organization's Politicians
Strategic Technology
Enlarge image: Term-limit the politicians to improve team culture Read the full post: Improve Team Culture by Term-Limiting Your Organization's Politicians (opens in a new tab)
Organizational politics — false consensus, selective framing — quietly erodes trust. Direct feedback and transparent accountability reform "politicians" who prioritize optics over impact.
Better WIP, Better Throughput
Kanban
Enlarge image: Board WIP limits drive throughput Read the full post: Better WIP, Better Throughput (opens in a new tab)
Board WIP limits boost throughput by forcing focus on collective completion over individual multitasking, reducing lead time and building stakeholder trust through predictable delivery.
Specializing Generalists: the Shortstops of Software Delivery
Strategic Technology
Enlarge image: Scale your organization with specializing generalists Read the full post: Specializing Generalists: the Shortstops of Software Delivery (opens in a new tab)
Hire "specializing generalists" with T-shaped skills — like baseball's versatile shortstops — to flexibly fill multiple roles and improve organizational resilience.
Stupid Cucumber Tricks
AI Delivery
Enlarge image: Tips and tricks to make working with the Cucumber easier Read the full post: Stupid Cucumber Tricks (opens in a new tab)
Practical Cucumber tricks: handling comma-separated lists in example tables and passing entire table rows as objects via ParameterType and DataTableType declarations.
Build Organizational Force Multipliers to Scale Software Delivery
Strategic Technology
Enlarge image: Build and release staff to maintain quality at scale Read the full post: Build Organizational Force Multipliers to Scale Software Delivery (opens in a new tab)
Accelerator Teams maintain quality during growth by developing autonomous, well-rounded staff who become force multipliers when distributed across the organization.
Stupid Maven Build Cache Tricks
AI Delivery
Enlarge image: Tips and tricks to make working with the Maven Build Cache easier Read the full post: Stupid Maven Build Cache Tricks (opens in a new tab)
A living tip sheet for the Maven Build Cache — cache skipping strategies, correct input file configuration, and snapshot plugin invalidation.
Fundamentals: the Key Enabler of Software Delivery and Baseball
Kanban
Enlarge image: Better pitching through fundamentals Read the full post: Fundamentals: the Key Enabler of Software Delivery and Baseball (opens in a new tab)
Software delivery, like pitching, requires mastering fundamentals — adopting kanban boards without grasping lead time and WIP limits creates "success theater," not improvement.
Habushu: Supporting Python in Polyglot Monorepo Builds
AI Delivery
Enlarge image: Synchronize Maven and Poetry to achieve enterprise-class Python delivery Read the full post: Habushu: Supporting Python in Polyglot Monorepo Builds (opens in a new tab)
Habushu, a Maven plugin, brings enterprise-class build discipline to Python by synchronizing Maven and Poetry for polyglot monorepos.
Incept with an AI Systems Engineering Mindset
AI Delivery
Enlarge image: Hump Chart Drill Down into Inception Phase Details Read the full post: Incept with an AI Systems Engineering Mindset (opens in a new tab)
AI initiatives should start with requirements gathering and systems engineering, establishing shared understanding across teams before building infrastructure.
Demonstrable Progress Checkpoints - More Approachable Kanban SLAs
Kanban
Enlarge image: Confidence Level in Demonstrating Progress Read the full post: Demonstrable Progress Checkpoints - More Approachable Kanban SLAs (opens in a new tab)
Rebrand Kanban SLAs as "Demonstrable Progress Checkpoints" to refocus teams on consistent weekly progress and build client trust through aggregate metrics.
Understanding AI Roles
AI Delivery
Enlarge image: Conceptual Similarity Between AI and Traditional Roles Read the full post: Understanding AI Roles (opens in a new tab)
Map AI roles to traditional software positions — Data Scientist as Architect, MLE as Developer, MLOps as DevOps — to align expectations and execute efficiently.
Systems Engineering: the Missing Glue for AI Delivery
AI Delivery
Enlarge image: Traditional RUP Hump Chart Read the full post: Systems Engineering: the Missing Glue for AI Delivery (opens in a new tab)
AI projects need RUP-style systems engineering to validate architectures and prevent fragile prototypes from reaching production.
Team
Our team is growing - check back for more members soon!
Ryan Ashcraft
Co-FounderRyan has spent 20+ years delivering enterprise solutions with a focus on artificial intelligence, service oriented architecture, model driven architecture, and leading edge software delivery approaches. He works with clients to move generative AI and large language models from promising pilots into dependable production systems, including the governance practices that keep AI spending predictable as adoption grows. His experience includes working in large and small companies as well as Government and commercial clients, providing a holistic and tailored perspective on what is needed for each unique customer.
Eric Konieczny
Co-FounderEric has 15+ years of professional experience delivering technology consulting services to the government and private industry. He is a proven technical leader with a demonstrated ability to develop innovative solutions to challenging problems, specializing in Big Data analytics, large-scale system-to-system integration, DevOps, and artificial intelligence. He brings that platform and data engineering background to generative AI and LLM-based systems, building the pipelines, integrations, and evaluation practices that make them reliable at enterprise scale.
Intern Tyler
Software EngineerTyler is working his second internship summer with CodifyIQ. He has strong interest in machine learning and enjoys applying it to baseball in a variety of ways (e.g., predictive outcomes, computer vision). While not coding, he can be found manning second base, centerfield, or on the pitching mound for his baseball team.
Contact
We are located in the Washington, D.C. Metro area, but support geographically remote projects
Local To Us
Washington D.C, Northern Virginia, Maryland
Email Us
info@codifyiq.com