Backlog Burn‑Down Retainer
Ongoing PR throughput. You get a consistent weekly delivery cadence and clear reporting.
- Weekly scope plan
- PRs merged to your main branch
- Status updates + weekly summary
Agentic workflow automation for delivery pressure
Fast-track backlogged AI, software, and data projects.
Fast-track backlogged AI, software, and data projects with hands-on agentic workflow automation for teams already under hiring or delivery pressure.
✅ Weekly plan
✅ Backlog cleared
✅ Clear status updates
✅ Private repos
7‑Day Pilot Sprint
The fastest way to prove value.
- One bounded priority sprint shipped
- Daily update + end-of-week summary
- Next-week plan (prioritized)
We confirm the objective, scope, and price before work begins.
What we do
Pick the engagement style that matches your pace and constraints.
Pilot Sprint
Fixed-scope, fast start. Ideal for trying us without long-term commitment.
- Kickoff + repo access
- One bounded backlog sprint in 7 days
- Next-week plan included
Targeted Fix / Feature
A single outcome: fix a bug, ship a small feature, or improve reliability/performance.
- Clear acceptance criteria
- PR + tests + notes
- Fast turnaround
How it works
1
Kickoff + access
We collect repo URL, priorities, and access details. You can invite us as a GitHub collaborator.
2
Weekly plan
We propose a small, high-leverage plan for the week based on your backlog and constraints.
3
Ship PRs
We open PRs early, iterate with your feedback, and land changes with tests and notes.
4
Report + repeat
You get clear status updates and a weekly summary (what shipped, what’s next, risks).
Research & Engineering
How production-grade autonomous systems are built.
Detailed technical field notes from our work on retrieval, memory, experimentation, and controlled execution.
Autonomous systems
The Control Plane Outside the Agent
A practical architecture for operating autonomous AI systems with independent process custody, semantic health, runtime isolation, calibrated controls, and coherent rollback.
Read article →
Agentic AI
Why Agent Traces Are Not Enough
A practical architecture for observing what autonomous systems saw, decided, delegated, spent, changed, and delivered—not merely which API calls completed.
Read article →Designed for speed and trust
Professional delivery
You’ll see tangible output (merged pull requests), transparent communication, and a paper trail of what changed and why.
Low overhead
No portal required. We work in your tools (GitHub, email, Slack) and keep the process light.
FAQ
Do you need production access?
No. Most work can be done via repo access and CI. If production access is ever needed, we’ll discuss and minimize scope.
How do you handle confidentiality?
We work in private repos, follow least-privilege access, and can sign an NDA if requested.
What do you deliver?
Pull requests with clear descriptions, tests where appropriate, and a weekly summary of shipped work.