Migrations bottlenecked on rare expertise and ran to 10,000 hours. Agents now finish in days—and retire the dead code along the way.
An AWS Premier Tier Services Partner with a 900-person consulting team, helping more than 1,200 customers migrate and modernize workloads on AWS.
Database migrations ran to more than 10,000 engineering hours before a single workload was validated, requiring rare expertise in both legacy and...
“Caylent runs on Claude. We’ve deployed Claude Enterprise company-wide and made Claude Code our engineers’ primary development tooling. We’ve already instrumented Claude Tag in several workstreams across departments and we built our global context management and autonomous backlog development systems entirely on Claude models. This daily operating experience, combined with Anthropic’s pace of innovation, has convinced us that we’re building on a compounding technology stack. Through Caylent Accelerate and ACE, our Anthropic consulting division, we put these same patterns to work for our customers.”
Cloud consulting and managed services partner specializing in AWS.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Caylent's Database migration is part of this use case:
Related implementations across industries and use cases
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Selling AI transformation required proving it internally first. A company-wide rollout wired Copilot into daily work across every function.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Migrations bottlenecked on rare expertise and ran to 10,000 hours. Agents now finish in days—and retire the dead code along the way.
An AWS Premier Tier Services Partner with a 900-person consulting team, helping more than 1,200 customers migrate and modernize workloads on AWS.
Database migrations ran to more than 10,000 engineering hours before a single workload was validated, requiring rare expertise in both legacy and...
“Caylent runs on Claude. We’ve deployed Claude Enterprise company-wide and made Claude Code our engineers’ primary development tooling. We’ve already instrumented Claude Tag in several workstreams across departments and we built our global context management and autonomous backlog development systems entirely on Claude models. This daily operating experience, combined with Anthropic’s pace of innovation, has convinced us that we’re building on a compounding technology stack. Through Caylent Accelerate and ACE, our Anthropic consulting division, we put these same patterns to work for our customers.”
Cloud consulting and managed services partner specializing in AWS.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Caylent's Database migration is part of this use case:
Related implementations across industries and use cases
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Simple data requests faced months-long delays. Now, an AI agent writes production-ready pipelines, cutting review time by 41%.
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Selling AI transformation required proving it internally first. A company-wide rollout wired Copilot into daily work across every function.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.