Compare
Codelucent vs. offshore dev shops.
Offshore shops are great for known-shape work at scale. AI systems aren't that yet. Here's the honest comparison.
| Codelucent | General-purpose offshore | |
|---|---|---|
| AI engineering specialists (RAG, agents, MCP, evals) | ||
| Cloud AI infra on AWS / Azure / GCP (private endpoints, KMS, audit) | ||
| Eval harness + CI gates from day one | ||
| HIPAA / SOC 2 scaffolding | ||
| Fixed-fee engagements on AI scope | ||
| Overlapping time zones with US clients | ||
| Founder-led, senior engineering on every engagement | ||
| Low hourly rate | ||
| Large offshore team depth | ||
| Suited for high-volume, well-specified feature work |
Where offshore wins.
- — Very well-specified, high-volume feature work.
- — Maintenance of stable codebases with clear runbooks.
- — Hourly billing when you can supervise closely.
- — Staff augmentation under strong in-house architects.
Where specialist AI engineering wins.
- — Greenfield AI systems where the architecture itself is the hard part.
- — Evaluation and audit work that requires someone who's seen it fail before.
- — Cloud AI infrastructure where compliance can't be a retrofit.
- — MCP, fine-tuning, and agent work that isn't a commodity yet.
- — Regulated rollouts where the phrase "it worked in dev" is not enough.
Many teams use both.
We build the AI system and infrastructure; offshore teams handle volume feature work once the patterns are set. Clean interfaces between the two work well.
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