Get engineering shipping fast without breaking everything
More code is easy. Changing how product gets built across PM, engineering, and design is hard. We work with engineering leaders and staff engineers to make the repo, CI, verification loops, and product/design handoffs ready for coding agents.
Repo, product, and design systems checked before we scale usage.
Agent work is auditable, verifiable, and trusted by humans.
Forward-deployed operator-engineers can work alongside your team.
$ assign ENG-1427 --agent background [context] loaded repo rules, component map, error budget [scope] migrate billing table → new design system [draft] opened PR #1842 with 6 files changed [verify] unit ✓ visual ✓ a11y ✓ bundle ✓ [review] routed UI diff to design, data path to staff eng next: human review in the right place, not everywhere
Agent-ready codebases: good for humans, good for AI
If a strong new hire cannot get productive in your repo, agents cannot either. Developer experience and agent experience need more investment, and we help you design the foundation.
Every agent starts cold. Architecture decisions live in Slack, old PRs, or one engineer’s head.
Agent rules, repo context, ownership, and builds that are fast (and in the cloud).
Slow tests, flaky CI, unclear local setup, review cycles that are getting more expensive.
Fast verification, trustworthy CI, regression tests, and tooling for agents.
Humans are drowning in AI-generated PRs.
Rethink code review so it stays compliant, with agents on the routine checks and humans on intent.
PMs and designers can prototype, but bad code lands in eng and no one knows what to do with it.
Prototype-to-production paths that actually work.
Where does your eng team stack up?
We can start with a focused readiness pass across repo context, CI, review, and product/design handoff, then turn the biggest gaps into a roadmap for your platform team.
The best engineering teams use AI in ways you haven’t even thought of yet.
Faster isn’t good enough. You need to completely rethink how engineering works. We help you with the DevX investments, training, and reward systems that top teams are embracing.
Agents: always on, never unowned.
Sure, agents should always be picking up work. But your repo isn’t ready. We help you set up the systems + tech to manage agents at scale.
Logs, owner, failing test attached
Scope needs route, states, data contract
High review drag, low blast radius
Specs? PRDs? What is a PM to do?
PMs learn how to write specs, experiments, and prototypes that give agents enough context without handing engineering a mess.
## Goal Reduce checkout retry failures for high-value carts. ## Constraints - preserve fraud checks - no schema migration - behind flag: retry_flow_v2 ## Acceptance - retries succeed or fail with reason - visual diff approved - metric: recovery rate +12%
Prototypes that work for PM, eng, and design
Vibe coding means everything is a prototype. But agents still need the production contract: routes, data, states, tests, ownership, and a review path that keeps quality intact.
Live preview, generated app, or product spike with the behavior worth keeping
Route, data shape, states, auth, flags, accessibility, and test expectations
Owner, visual diff, acceptance checks, and the human reviewer who can say yes
Make AI use visible, social, and high-status.
Your strongest builders become the pattern. We package their workflows, spotlight the results, and make the rest of the team want to catch up.
checkout recovery agent + PR review routing
CI flake triage, repros, and fix-forward PRs
prototype-to-PR hardening for onboarding
agent playbooks for migrations and test coverage
We help you redesign your tech team
Engineering acceleration is not “pick an agent and let it open PRs.” You need to rework your codebase, invest in your developer platform, build new tools, and redefine the role of software engineering (for humans and agents).
- 01Context
Your team curates context that agents can reach on demand.
- 02Scope
Humans set scope and direction. Agents write a detailed plan and flag the gaps.
- 03Generate
Agents do the heavy lifting while humans steer and refine.
- 04Verify
Agents check every change before a human is asked to look.
- 05Route
People review the changes that are risky or high leverage.
- 06Merge
Changes merge by your team’s rules, and agents see them through to production.
Talk to us about AI engineering acceleration.
Tell us where engineering is already using AI, where trust breaks down, and what your codebase makes hard.