Consulting
Build better game development workflows
Game development gets complicated fast. QA pipelines grow. Debugging becomes slower. Tooling gets fragmented. AI is added without enough context. Engineering teams spend more time investigating problems than fixing them.
We help game studios design and implement better technical workflows across debugging, QA, telemetry, developer tooling, and AI-assisted development.
Practical consulting. Built around your game, your team, and your existing stack.
Where we can help
Four places engineering time disappears
Debugging & QA workflows
Find the parts of your development process that create unnecessary investigation, manual reproduction, and back-and-forth between QA and engineering. We help you design workflows where developers receive the context they need from the start.
- Bug reporting and reproduction workflows
- QA-to-engineering handoff
- Automated context collection
- Logs, events, telemetry, and session data
- Device and network diagnostics
- Internal debugging tools
Spend less time hunting for bugs and more time fixing them.
Game telemetry & observability
Games generate enormous amounts of information. The challenge is capturing the right information — without drowning your team in data or adding unnecessary runtime overhead. We help studios define what should be captured, how it should be structured, and how developers can actually use it when something goes wrong. From gameplay state and player actions to performance, network conditions, logs, and device telemetry.
Capture what matters. Ignore what doesn't.
AI for game development
AI assistants are much more useful when they understand what actually happened inside the game. We help teams connect AI development tools with real project and runtime context so they can assist with investigation instead of guessing from isolated logs or descriptions.
- AI-assisted bug investigation
- Root-cause analysis
- Developer copilots
- MCP integrations
- Internal engineering agents
- Automated issue enrichment
- Project-aware debugging workflows
The objective isn't to add AI everywhere. It's to give AI enough context to be useful where it matters.
Developer tooling
Sometimes the right solution isn't another SaaS product. It's a small internal tool that removes a painful part of your workflow. We can help design and build tooling around your existing development process — from SDK integrations and debugging utilities to QA infrastructure and engineering automation.
Tools should fit the way your team already works, not force your team to work around the tools.
How we work
From current workflow to adopted solution
Understand the workflow
We start with how your team actually works today. Where bugs come from. How QA reports them. What developers receive. Which tools are involved. Where time gets lost.
Find the bottleneck
Not every problem needs a new platform. We identify the parts of the workflow creating the largest engineering cost and determine what is worth changing.
Design the solution
We define a practical architecture that fits your engine, infrastructure, team, and development process. No unnecessary complexity.
Implement
When needed, we can help build prototypes, integrations, SDK components, internal tools, or production-ready systems.
Make it usable
A technically correct solution that nobody uses doesn't solve anything. We focus on making the new workflow easy for QA and engineering teams to adopt as part of their normal development process.
Engagements
As focused or as hands-on as the problem requires
Technical audit
A focused review of your current QA, debugging, telemetry, or AI development workflow. We identify bottlenecks, architecture issues, and opportunities for automation, then provide concrete recommendations.
Architecture & strategy
For teams planning a larger change. We help define the technical approach, data model, integrations, infrastructure, and implementation roadmap before development begins.
Prototype
When the fastest way to validate an idea is to build it. We can create a working proof of concept around a specific workflow, integration, or internal tool before you commit to a larger implementation.
Hands-on implementation
For projects where you need more than recommendations. We can work directly with your engineering team to build and integrate the solution.
Not another 80-page consulting report.
We prefer working software, clear architecture, and decisions your engineering team can act on.
The output of an engagement should make development easier. Not create another document nobody opens.
Let's solve the expensive engineering problems.
If your team is spending too much time reproducing bugs, investigating incomplete reports, building internal debugging infrastructure, or figuring out how AI fits into your development workflow, let's talk.
Tell us what is slowing your team down. We'll figure out whether we can help.