A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Harness design
Design the skills, context, and review loop that shape how agents work on your repos.
The harness that makes AI coding reliable
AI coding agents are only as good as the harness around them. Brainforge builds the skills, context, and review systems that turn coding agents into reliable contributors your team merges with confidence.
In plain terms
What Harness Engineering means in practice
Where teams get stuck
Build the skills, context, and review systems that make AI coding agents reliable contributors.
Agents produce code that doesn't follow our standards.
No shared skills, so every agent setup is different.
Agent output skips tests, review, and security.
We can't measure whether agent code is helping.
What we deliver
Core Harness Engineering
Agent skill development
Build the skills and playbooks agents use to follow your standards and patterns.
Review and quality systems
Review integration, evals, and quality gates so agent output is safe to merge.
How deep it goes
Capabilities behind the work
The same delivery primitives (context, controls, and review) show up across every engagement.
Harness design
Skills, context, and review systems shaped around your repos.
Harness architectureContext designReview design
Agent skills
Skills and playbooks agents use to follow your standards.
Skill librariesPlaybooksPattern wiring
Review and quality
Review integration and evals so agent code is safe.
Review gatesEval suitesQuality checks
Measurement
Tracking agent contribution and code quality.
Contribution metricsQuality trendsRegression checks
What changes
Outcomes you can point to
- A harness of skills, context, and review for your agents.
- Agents that follow your standards and patterns.
- Quality gates on everything agents produce.
- Measured agent contribution and quality.
Proof in production
See where this work shows up.
Related ways to engage
A clear front door into this work
Common questions
Harness Engineering, straight answers
What does harness engineering cost?
Engagements start with a scoped build sprint, so you pay for a bounded piece of work rather than an open-ended retainer. Most teams begin with one agent workflow and its harness.
What is a harness for AI coding?
The skills, context, permissions, and review loop that shape how an agent works. It is what turns a raw coding model into a reliable contributor.
How do you make agents follow our standards?
We build skills and playbooks that encode your conventions, plus review gates and evals that catch deviations before merge.
Do you work with any coding agent?
Yes. The harness approach applies to Cursor, Claude Code, Codex, OpenCode, and others — the harness is what makes any of them reliable.
How long does a harness build take?
A first harness for one agent workflow typically ships in 2–4 weeks of sprint work.
How we work
A path from pressure to a working system
01
Audit the current harness
We see which skills, context, and review exist and where agents create risk.
02
Build the harness
We design and build the skills, context, and review systems agents need.
03
Measure and iterate
We track quality and contribution, then tune from real usage.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
Harness Engineering to work?
Harness Engineering to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
