Fix the system, not add more people. Fixed price, quoted before we start.
Common CI/CD pipeline bottlenecks
Releases batched to once a week
Engineers waiting on each other to merge
One engagement fixes all three. You own the plan and the pipeline at the end.
Engineering Velocity Assessment
5 questions. 60 seconds. See where you stand.
Question 1 of 50%
How long does your average CI build take?
One Engagement. Fixed Price.
AI-Delivery Stability Assessment
2 weeks$12–15K CAD
Fixed price, quoted before we start. No surprises, no hourly meter.
Your team is shipping faster than ever — AI-assisted code is landing daily. The question is whether your pipeline, reviews, and releases can absorb that pace safely. In two weeks we measure exactly where they can't, and hand you the plan to fix it.
Week 1
Measure
We benchmark how fast — and how safely — changes actually reach production: build times, failure rates, review flow, release cadence.
Week 2
Findings
Where AI-assisted output is outrunning your review, testing, and release process — and what it costs you in incidents and rework.
Then
Your plan
A prioritized, costed plan your team can execute with or without us. Either way, you own it.
The assessment ends with a proposal you can execute with or without us — your team keeps the baseline, the findings, and the plan.
What's Included
Start small, grow smart
1
Discovery includes:
- Baseline metrics (changes/day, CI time, deploy frequency)
- Bottleneck mapping
- Quick-win identification
- Prioritized roadmap
2-4
Later milestones add:
- CI/CD pipeline optimization
- Workflow redesign
- Test parallelization
- Deploy automation
The Discovery phase gives you data on exactly where time is lost. No guesswork. If it works, we build from there.
Embedded With Your Team.
Not Another Consultant.
We work inside your systems, not around them.
Work alongside your engineers
Not watching from the sidelines — in the trenches with your team.
Knowledge transfer built-in
Every optimization explained. Your team understands the why.
Team owns the changes
All improvements go into your repo. Nothing proprietary.
Hand off when done
We exit when the system runs itself. No ongoing dependency.
Your team learns the system. You keep the improvements forever.
Real Results. Real Teams.
Both stories are teams Alonso worked on as an engineer — shared as proof of the work, not client logos.
Case Study: 3 → 65 Changes a Day
From 3 to 65 changes per day
3 → 65
Changes per day
2 years
Of steady, compounding gains
Same team
No additional headcount
40
Engineers
A 40-person engineering team was stuck at 3 changes per day. CI took 20+ minutes, releases were batched weekly, and engineers spent more time waiting than coding. Over two years, with Alonso as an engineer on the team, it went 3 → 6 → 20 → 65 changes/day. Same team, same tools. He tells the whole story in the talk below.
Watch the full talkCase Study: 250+ Developer Platform
2.4x faster builds, 55% cost reduction
2.4x
Faster builds
25%
Throughput increase
55%
CI cost reduction
250+
Developers served
A healthcare-SaaS platform's engineering teams were fighting slow, unreliable pipelines. Build success rate was 40%, requiring manual retries. After optimization work Alonso contributed to as an engineer on the team: 2.4x faster builds, 25% more throughput, and CI costs cut in half — serving 250+ developers across 35 teams. Engineering leadership called it the highest-impact project of the year: one week's effort, one month's lead time.
Hear the full story in the talkCommon Questions
You walk away with baseline metrics, a bottleneck map, and a prioritized roadmap. Many teams use Discovery to secure budget or validate their assumptions. There's no penalty for pausing — you've already gotten data and direction.
No. We're a force multiplier. We work alongside your DevOps and platform engineers, not around them. Everything we do gets handed off to your team when we're done.
The assessment takes two weeks and ends with a prioritized, costed plan. Quick wins usually land in the first month of executing it; bigger system-level gains compound over the following quarters. Exact timing depends on your current state and complexity.
Fixed price, quoted before we start. The AI-Delivery Stability Assessment is $12–15K CAD for two weeks, and it ends in a plan your team can execute with or without us. No retainers, no open-ended billing.
Most teams optimize locally — faster tests, better caching. We fix system-level workflow issues: merge queues, branch strategies, deployment gates. The bottleneck usually isn't where you think.
Start a conversation
Tell us what's slowing your team down
A pipeline that gets slower every quarter. AI-assisted code landing faster than reviews can keep up. A release process everyone is afraid to touch. Two sentences is plenty — an engineer replies, not a sales sequence.