Custom agents
Agents tuned to your conventions, libraries, and architecture, so output looks like your team wrote it.
AI coding pipeline consulting
Build an AI coding agent pipeline your team trusts
We design agentic development workflows, plan, code, review, test, ship, with evals and guardrails so AI accelerates delivery without risky output.
How we implement AI coding pipelines
As an AI software development company, we embed agents across your SDLC, tuned to your codebase, standards, and stack. Every change passes automated evals and senior human review before it ships.
- Custom agents for planning, coding, and review
- Eval gates that block bad AI output automatically
- Integration with GitHub, CI/CD, and your IDE workflow
- Team enablement so you own the pipeline long-term
pipeline.yaml
stages:
- plan
- code
- review
- eval
- ship
4× velocity · 0 flaky tests
The pipeline
Five stages, one quality bar
Every change flows through the same loop, so AI accelerates delivery without lowering standards.
01
Plan
An agent turns the task into a reviewable spec before any code is written.
02
Code & review
Agents implement against the spec; AI self-review plus senior humans catch what matters.
03
Eval
Custom evals and your full test suite gate every change, blocking bad output automatically.
04
Ship
Merge only when every gate is green, integrated with GitHub, CI/CD, and your IDE.
What you get
A pipeline tuned to your codebase, owned by your team, not a black box you depend on us to run.
Eval & guardrails
Automated quality gates and a hardened test suite that block regressions and hallucinated APIs before review.
Team enablement
Docs, training, and a clean handoff so your engineers own and evolve the pipeline long-term.
FAQ
AI coding pipeline questions
Every AI-assisted change passes automated evals, your full test suite, and senior human review before it ships. AI accelerates the team, it never replaces accountability. See how that worked for a dev tools startup.
Yes. We integrate with GitHub, your CI/CD, and your IDE workflow rather than forcing you onto a new platform. The pipeline fits how your team already ships.
No. We build the pipeline, then hand it over with documentation and training so your team owns and evolves it. The goal is leverage you keep, not a dependency.
It depends on your codebase and bottlenecks, but teams commonly see multiples, one client reached 4× velocity with zero new flaky tests. We start with an audit so the projection is grounded, not hype.
No. Autocomplete helps an individual; a pipeline changes how the whole team ships, with planning, review, evals, and guardrails wired into your SDLC so quality is systematic, not personal.
Ready to multiply your team's output?
We'll audit your SDLC and design an AI coding pipeline that fits how you actually work.