Your engineering team is shipping faster. But is it shipping better?
We embed Field Developer Engineers into your team to transform your software development lifecycle with AI — systematically, not chaotically.
Everyone is adopting AI. Almost no one is getting results.
Individual developers complete 21% more tasks and generate 98% higher PR merge rates with AI. Yet organizational throughput stays flat.
The most dangerous outcome is slow, invisible risk accumulation — exposed only through production failures, security audits, or critical technical debt thresholds.
We don't sell licenses. We embed engineers.
Our FDEs join your team as embedded specialists. They work alongside your developers, restructuring workflows around AI capabilities — not just installing tools.
Assess
We map your current SDLC maturity, tool usage, governance gaps, and baseline metrics. No guessing — data-driven diagnosis.
Embed
FDEs join your squads. They pair with developers, restructure workflows, set guardrails, and introduce AI at each SDLC phase with precision.
Measure
Cycle time, bug escape rate, review quality, test coverage — we track what matters and prove ROI with real numbers.
Scale
Once patterns are validated, we codify them into your org. Your teams carry the new operating model forward independently.
AI across every phase of your SDLC.
We don't just help with code generation. We transform every phase of how software gets built.
Requirements & Design
AI-assisted PRDs, user stories, acceptance criteria. Architecture exploration at the speed of thought.
Coding
From autocomplete to autonomous agents. We help your team shift from writing to verifying and selecting.
Code Review
AI as a first-pass review layer — catching patterns, flagging risks, reducing reviewer fatigue. Our specialty via Kodus.
Testing
Accelerated test generation. Unit tests, edge cases, and fixture coverage that actually catches bugs.
CI/CD
Pipeline configuration, release notes, infra code, build failure diagnosis — all AI-augmented.
Incident Response
Alert synthesis, log condensation, status updates. Faster response, clearer communication.
Governance
Policies, data classification, vendor evaluation, logging. We build the foundation others skip.
We've been in the trenches.
As the founders of Kodus, we built one of the leading AI code review platforms. We've seen firsthand what works and what doesn't when engineering teams adopt AI. We know the shortcuts, the pitfalls, and the patterns that actually generate ROI.
The AI SDLC Maturity Model.
We built the open guide that engineering leaders use to assess and evolve their AI adoption. It's the backbone of our methodology.
Zero integration. Fully manual workflows.
Individual developers self-adopt tools. No shared standards.
Approved tools, basic rules, some logging.
Cross-team standards. Metrics tracked. Regular reviews.
Automated compliance. Continuous improvement. Clear ownership.
Tools we built for the community.
We don't just consult — we ship. These are open-source tools we've built to accelerate AI adoption in engineering teams.
Kodus AI
AI Code Review with full control over model choice and costs. Our flagship product — autonomous review that learns your team's patterns.
Agent Readiness
The open-source alternative to Factory.ai's Agent Readiness. Assess how prepared your codebase is for AI agents.
Awesome Agent Skills
Curated list of Agent Skills for AI coding agents like Claude Code, Codex, and Cursor.
Awesome AI Code Review
Curated list of AI Code Review agents, copilots, and research papers.
Ready to transform your SDLC?
Stop buying tools. Start changing how your team builds software.
No pitch decks. We start with a diagnostic of where you are today.