Continuous task flow
Break product goals into bounded work, dispatch specialized agents, ingest their reports, and keep the next step moving without relying on manual copy-paste coordination.
HaTrung AI is developing a supervisory layer that turns product goals into structured work, coordinates specialized coding, review, testing, and audit agents, and keeps parallel execution aligned with the project's technical source of truth.
The hard part is no longer getting an AI agent to write code. The hard part is keeping many agents coordinated over a long-running project without context drift, overlapping work, broken handoffs, or silent divergence from architecture.
Break product goals into bounded work, dispatch specialized agents, ingest their reports, and keep the next step moving without relying on manual copy-paste coordination.
Use isolated workspaces, explicit ownership, technical source-of-truth documents, and merge gates so workers can move in parallel without overwriting one another.
Route outputs through reviewer, test, and audit stages. Important decisions stay visible to humans while routine coordination continues automatically.
Designed for real software projects where agents must wake up, hand off state, recover from failure, and continue until an approved outcome is reached.
Our integration focus is using Claude where high-quality judgment matters most: planning, technical decisions, long-context project reasoning, code review, agent supervision, and recovery when a workflow leaves the happy path.
We are actively designing the product around model routing, durable context, observable tool use, evaluation, and human approval boundaries rather than treating the model as a one-shot chatbot.
The platform is in active prototype development. Current work prioritizes orchestration continuity, worktree isolation, agent wake-up and handoff mechanics, context discipline, auditability, and cost/latency-aware model selection.
Agents should be able to continue routine work without constant human prompting, while high-impact decisions remain inspectable and interruptible.
We are especially interested in guidance around long-running agent reliability, context management, MCP and tool design, evaluation methodology, human-in-the-loop controls, and scaling Claude workloads without sacrificing reasoning quality.
A bootstrapped Vietnam-based Software & SaaS project building AI-native infrastructure for coordinated software engineering agents.
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HaTrung AI is a product under active development. Descriptions on this website communicate current product direction and may evolve. Nothing on this page constitutes a guarantee of feature availability, service level, pricing, or commercial terms.