Connect agents across
coding, review, and testing.
Connect AI agents across research, coding, review, and testing. We build the workflow around your codebase and delivery process, with working releases your team can inspect.
Start with a concrete engineering task
Identify the repository, intended behaviour, limits, and checks for the task. Define which files and systems are in scope. Start with a specific feature or recurring maintenance task.
Connect specialists through shared evidence
Coordinate research, coding, testing, and review around the same goal. Keep the source version, decisions, and open issues with each handoff. Plan recovery for failed tools, stalled work, and problems found in review.
Separate execution from release authority
Agents can prepare code, tests, documentation, and a release candidate within agreed access. Your organization decides who may merge, deploy, access credentials, or communicate externally. Record source changes, test results, deployment, and observed behaviour separately.
Measure accepted delivery
Measure completed work that passes review, correctness, review effort, time, and running cost. The 8rnd ecosystem informs our approach. Evaluate the client’s actual workflow against its requirements.
What a first project can produce.
Agree what we will build, how it will be checked, and what your team receives. We confirm timing, access, and commercial terms together.
- 01A defined engineering workflow and authority map
- 02A working orchestration with tool and recovery paths
- 03Delivery evidence and a measured pilot review
Related services
Related industries
How the work moves
A coordinator receives the intended behaviour and repository scope. Research establishes the implementation; coding prepares the change; testing exercises the task; review checks the result against the brief. Handoffs record the source revision and unresolved issues so approval of one version is not confused with another.
What the system needs to handle
Tool failures, conflicting edits, and inconclusive checks return a clear status and next action. Limit repeat attempts and investigate work that produces no new evidence. Credentials and production access stay within authorized stages. The output can be a reviewable pull request and release candidate with supporting results.
What affects the first release
Repository structure, existing tests, build reliability, provider access, and release controls affect the scope. Start with a bounded feature or maintenance task. Compare accepted changes, defects, review effort, turnaround, and operating cost. Faster code generation alone does not establish improved delivery.
Which engineering workflow should agents coordinate?
Tell us about the sources, tools, and people involved. We’ll define a useful first scope.