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By the numbers
What clients say
“Codemancers isn't just a dev shop, they're a true strategic partner.
From day one, they brought not only technical expertise but also a deep sense of ownership and alignment with our values. We came to them looking for quality talent and guidance to help us build better products and they delivered far beyond expectations. Their team integrated seamlessly with ours, communicated brilliantly, and proactively tackled challenges as if they were part of our internal crew. One standout moment was during the rebuild of our management systems. With almost no documentation, they rolled up their sleeves, met with end users and mapped out every edge case to help us design a vastly improved system.”
Renaldi TjahayaDirector of IT and CRM Loyalty, Kawan Lama Group“Codemancers have a strong ownership to the projects as they are a self-organized team. Codemancers team members are highly skilled people with a smart and nice personality. They are also one of the few organizations that bring a positive influence to my team by pushing best practices into day-to-day software development. Will definitely be using their service for our future projects.”
Rafeequl RahmanCVP Engineering, Midtrans“Codemancers is a team of solid engineers & hackers who understand modern development practices and design-led product development. They have successfully worked with a couple of my startups. They can be a great partner to startups.”
Aananth SolaiyappanFounder, CEO & CISO, SquareShift“The Codemancer team is a self-contained dev shop. They do a great job of interpreting requirements, ask appropriate questions at the appropriate time, self-manage, and deliver. All of this is done using best practices and cutting-edge technology.”
Kevin WolffCTO, Ivrnet Inc.Each offering is designed to fit where you are right now and grow with you.
AI Readiness Audit
A 2–3 week diagnostic that maps every AI opportunity across your stack, scored by business impact vs effort. You get a prioritized roadmap, a prototype for your top 2 use cases, and an executive deck your CTO can present to leadership.
AI Cost Optimization
We audit your models, prompts, and infrastructure costs, then fix what is quietly draining your budget
MVP in a Week
We extract the core, strip the noise, and ship something real. Ideal for founders and PMs who need to validate before committing to a full build.
AI Governance and Security
AI that meets your security standards, satisfies compliance requirements, and keeps your team in full control of every decision. We build the guardrails in from the start so compliance never becomes a blocker.
Chief AI Officer As A Service
Build vs buy, AI roadmap, technical due diligence. We show up when the decisions actually matter.
Legacy Modernization
Done at scale: 1,000+ store retail platform, zero downtime, no docs to start from. We turn your liability into a foundation for AI.
AI Maintenance and Support
Model drift, output degradation, performance dips. We monitor, retrain, and tune so your AI investment keeps delivering ROI long after launch.
Quick hits on YouTube, deeper dives on the blog: what we've been building and learning lately.
Codemancers · YouTube
What if you could run a 744 billion parameter AI model on a regular laptop? 🤯An open-source project called Colibri is making this possible, and the secret i...
Watch short
Codemancers · YouTube
OpenAI ran a security test where it locked its AI agents inside sealed boxes with no internet, no shared files and no way to send each other messages. Then i...
Watch short
Codemancers · YouTube
Remember the Joker's bank robbery in The Dark Knight? Now imagine pulling off a similar heist without even entering the bank.That's roughly what happened in ...
Watch shortSatya Swaroop Mohapatra & Nitturu Baba ·
How we turned a Mac mini and a stack of MacBooks into a self-hosted k3s cluster, moved our apps off a managed platform, and run it all over Tailscale.
Read articleAshwani Kumar Jha ·
A harness is the code that sits around an LLM and lets it actually do things: read files, run commands, search the web. The model writes text. The harness turns that text into actions, and the results back into text.
Read articleYuva ·
Three patterns that shape how Gather AI and Zuko look and feel, and why we believe they're the future of AI products.
Read articleAI is everywhere but it's unclear which investments will actually move your metrics and which are expensive experiments.
Most AI projects fail at the data layer. Pipelines, quality, access all need work before LLMs can deliver value.
Your engineers are shipping product. They don't have capacity to also become AI specialists with production-grade experience.
Aging, undocumented codebases make AI integration slow, risky, and expensive. They need to move first.
Don't worry. We've got you covered.
Start with the audit.