We build AI code optimization workflows for engineering teams at SaaS, fintech, and product companies, from AI-assisted code review pipelines and Copilot or Cursor integration to refactoring sprints, performance profiling, and custom internal dev productivity assistants. With 13+ years of production engineering experience and ISO 9001 certified delivery, we serve engineering leaders across 45+ countries at India rates with Western-grade discipline.
Whether you are integrating AI code review into a growing repo, planning a refactor sprint to clear technical debt, profiling a performance bottleneck before a Series B raise, or building a custom code-review assistant for your team, our engineering team ships solutions that move the metrics that matter: PR review cycle time, defect escape rate, and engineering throughput.
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We integrate GitHub Copilot, Cursor, CodeRabbit, and Sourcery into your existing PR workflow. Reviews land faster, fewer easy-fix items reach senior engineers, and security checks run automatically on every commit. We tune rules to your stack and your team’s review priorities so the AI catches what matters and stays quiet on what does not.
Legacy code modernization with AI tooling and senior engineering oversight. We rewrite tightly-coupled modules, untangle service boundaries, and update old framework versions on production codebases. Each sprint runs four to eight weeks with measurable defect reduction and test coverage targets agreed up front.
AI-assisted profiling on Python, Go, Node, and Java workloads. We use LLM analysis on flame graphs and trace data to surface hotspots that pattern-matching profilers miss. Output is a prioritized fix list with expected gains and engineering effort per item.
Code-review bots for Slack, IDE plugins for VS Code or JetBrains, custom rule engines on top of Semgrep or CodeQL, and Retrieval-Augmented Generation assistants that answer questions from your internal docs and code. Built on OpenAI, Anthropic Claude, or open models depending on your data sensitivity.
Test generation for under-tested modules, AI-assisted mutation testing, and regression coverage expansion. We use Copilot and custom LLM workflows to write unit and integration tests, then a senior engineer reviews and refines them before they enter your CI pipeline.
Two to four weeks of analysis on your repository, CI pipeline, current review process, and team workflow. We produce a written audit covering technical debt distribution, review bottleneck analysis, security posture, and a prioritized AI integration roadmap. You receive the audit even if you decide not to continue.
Selection of AI tools that fit your stack and security posture, integration design, rule customization, and pilot project scoping. Done jointly with your engineering lead so the rollout matches your team’s current ways of working rather than forcing a new process.
Four to eight weeks of implementation: PR pipeline integration, custom rule deployment, team training, and a pilot project on a single repository or service. We track baseline metrics during pilot so the production rollout has hard numbers to compare against.
Gradual rollout across remaining repositories, monitoring dashboard setup, false-positive triage, and a 30-day post-launch tune-up window. Hand-off includes runbooks, dashboards, and a documented escalation path so your team can run the workflow without us.
Engineering managers and CTOs pick ScalaCode when they need senior engineering judgment paired with AI tooling, not just a vendor selling a tool license. Five reasons we hear most often:
India rates, Western-grade engineering discipline. You pay $13 to $25 an hour by seniority, but your code review pipeline gets the same rigor a US-based shop charges $80 to $180 an hour for.
13+ years of production engineering experience. We have been refactoring production codebases since before AI tooling existed. Our engineers know what breaks under load and what is safe to change without a regression.
ISO 9001 certified delivery. Documented processes for code handover, security reviews, and incident response. No surprises in audit cycles.
Full IP ownership transfers to you. Source code, custom rules, internal models, training data, and documentation are yours from day one. ScalaCode retains nothing.
Engineering managers run delivery, not project managers. The person you talk to weekly is someone who can read a stack trace, not a sales coordinator with a status spreadsheet.
One to four engineers assigned to your codebase on a three-month minimum. Best for refactoring sprints, sustained code review automation projects, and custom dev assistant builds. Pricing $1,200 to $4,000 per engineer per month depending on seniority.
Pay for actual hours worked on a defined scope with weekly reporting. Best for shorter audits, performance optimization sprints, and pilot integrations. $13 to $25 an hour by seniority.
Fixed-price pilot tied to measurable outcomes such as review cycle time reduction or test coverage uplift. We refund a portion if we do not hit the agreed baseline improvement. Typical pilot $25,000 to $60,000 depending on scope.
| What you get | ScalaCode | Western consultancy | In-house senior hire | Solo freelancer |
|---|---|---|---|---|
| Hourly rate (USD) | $13 to $25 | $80 to $180 | $45 to $90 fully loaded | $30 to $90 |
| Time to start | 5 to 10 business days | 8 to 16 weeks (RFP cycle) | 12 to 26 weeks (hiring) | 1 to 3 weeks (if available) |
| Senior engineering oversight | Yes (engineering managers run delivery) | Yes | One person, no peer review | One person, no peer review |
| IP ownership | Full transfer from day one | Negotiated, often shared | Yours by default | Negotiated |
| Scale up or down quickly | Yes (within days) | Slow (contract amendment) | No (hiring or layoff cycle) | Limited |
Series A to Series C scale-ups where engineering velocity is the primary constraint. We come in to clean up technical debt before a fundraise, automate PR review when the team scales past 15 engineers, or build internal dev assistants that reduce time-to-first-PR for new joiners.
Common starting points: a stalled migration to a microservices architecture, a slowing CI pipeline that adds 20 minutes to every PR cycle, or a junior engineer onboarding process that takes six weeks because of undocumented internal patterns. We have shipped fixes for all three. Each engagement starts with a one-week diagnostic so we agree on the right pilot scope before billing accelerates.
Highly regulated environments where security and audit traceability matter. We deploy AI code review on private infrastructure, integrate with existing SAST and SCA tools, and document every rule for compliance review.
Typical asks: a code-review pipeline that flags PII exposure before it merges, automated checks for OWASP top 10 vulnerabilities on every commit, and audit trails that prove every AI suggestion was reviewed by a human before deployment. We document the controls in formats that map to SOC 2 and PCI DSS review cycles.
Performance optimization is the typical entry point. We profile checkout flows, search APIs, and recommendation services, then refactor the bottlenecks under senior engineering oversight.
On larger e-commerce platforms we also build internal recommendation review assistants that flag pricing logic regressions and inventory edge cases before they reach production. The goal is fewer revenue-impacting incidents during peak shopping windows, not a generic code quality score.
HIPAA-adjacent codebases where AI tooling needs to run without sending code to hosted APIs. We deploy local LLM inference on your infrastructure and integrate code review without external data exposure.
Open-weight models like Code Llama, DeepSeek Coder, and Qwen Coder run on your GPU infrastructure or air-gapped environments. We tune inference settings for the latency and throughput your team needs, then build the IDE and CI integrations so the experience matches what your engineers would get from a hosted API.
Large engineering organizations with hundreds of repositories and inconsistent code quality across teams. We standardize review pipelines, build custom rule libraries, and create internal dev assistants tuned to your engineering standards.
Enterprise rollouts run 12 to 24 weeks because the work spans multiple teams and security review cycles. We staff the engagement with a delivery lead plus two to four engineers, run weekly architecture syncs with your platform team, and produce monthly rollup reports for engineering leadership tracking adoption and impact metrics.
$13-$15/hr
$18-$20/hr
$23-$25/hr
$1,200-$1,500/month
$1,800-$2,200/month
$2,400-$2,800/month
$3,200-$4,000/month
I looked around at several developers to compare costs, but they didn’t fit within my budget. Finally, I reached out to a company in India called ScalaCode. We set up several online meetings over a couple of weeks and came up with an app that did exactly what I wanted within my budget. I can confidently say that ScalaCode has been an excellent choice for me.
Ruddy McKenzie
Founder of RM EPOSStakeholders are impressed with ScalaCode deliverables. The mobile app has been accepted on both Google Play and App Store. Moreover, we are impressed with the team’s range of abilities from design and development to database and app creation. Overall, the engagement has been a success.
James Ellis
Owner, Artist-Tipping PlatformScalaCode provides great results, uplifting the collaborative experience with their impressive project management style. The team always delivers as expected, which is manifested by the length of the ongoing relationship with us. Overall, their services have been impressive.
Jaa St. Julien
Pres. & Chief Strategy Officer - St. Julien CommunicationsStakeholders are impressed with ScalaCode deliverables. The mobile app has been accepted on both Google Play and App Store. Moreover, we are impressed with the team’s range of abilities from design and development to database and app creation. Overall, the engagement has been a success.
Manuel
CEO, 4SaleThe application was basically built from scratch, and was complicated, as the software was to be integrated with a certain Medical EHR software. As the CEO of SHG, I was very pleased with the services, expertise, and support we received from ScalaCode, from the beginning directly through the first LIVE implementation.
Stephen Holmes
CEO, Steve Homes GroupThe iOS and Android apps exceeded the expectations of the internal team. ScalaCode crafts high-quality products that are easy to use and fit the requirements of the client. The team is technically experienced, hard-working, and knowledgeable.
Carolyn Dare
Director, Empowered AchieverI needed a reliable team on-hand, and ScalaCode delivered. Their excellent availability and project oversight made a big impact.
Faid Lalji
Learn ArenaOur XR project had unique hurdles, but ScalaCode grasped it fast and delivered beyond expectations with excellent collaboration.
Alessandro
CEO / Founder (XR Company)No. Source code stays in your repositories. Custom rules, IDE plugins, RAG models, and any internal dev assistants we build belong to you. ScalaCode retains no license to reuse anything we build for your engagement.
Yes. For sensitive codebases we deploy local LLM inference using vLLM or Ollama, run open-weight models like Code Llama or DeepSeek Coder on your infrastructure, and configure tools like Cursor and CodeRabbit in their self-hosted modes. Nothing leaves your perimeter.
Baseline metrics during pilot. We track PR review cycle time, defect escape rate, time to first review, and senior engineer time saved per PR. The metrics live in a dashboard we set up so you can validate the impact yourself.
Hourly rates $13 to $25 by seniority. Monthly dedicated team $1,200 to $4,000 per engineer. Pilot engagements run $25,000 to $60,000. Full enterprise rollouts $120,000 to $300,000. See the rate card section for the full breakdown.
Five to ten business days from contract signing. We do not run a hiring cycle for each project. Engineers come from our existing vetted bench, so you skip the recruiting delay.
Yes. We work alongside existing tool licenses, not in place of them. The value we add is rule customization, pipeline integration, custom assistants, and senior engineering review of what the AI suggests.
We train your team. Every engagement includes a knowledge transfer phase: runbooks, internal documentation, a recorded walkthrough of every system we build, and a 30-day question window after handoff. We want you running this without us.
Yes. We document every AI integration for audit, run security reviews before production rollout, and integrate with your existing SAST, SCA, and secret scanning tools. For regulated industries we add compliance artifacts for SOC 2, HIPAA, or ISO 27001 review cycles.
No matter the challenge, ScalaCode delivered with speed and precision. Their consistency and broad skillset impressed me.
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