Intent
Contracted Prompts
Translate loose agent requests into scoped work orders with constraints, risk notes, and acceptance criteria.
Agentic engineering control
A safety layer
for AI coding
tools
Claude, Codex, and Gemini can help build faster. Hakama watches the work, turns your request into a clear contract, and checks each change before it lands.
Acceptance layer
A cleaner path from request to reviewed change.
01
Intent
Define scope, risk, and acceptance criteria before the agent edits.
02
Review
Check diffs, dependencies, generated docs, and policy-sensitive output before handoff.
03
Evidence
Keep prompts, checks, approvals, and decisions attached to the accepted change.
Control surface
A clearer operating model for AI-assisted engineering.
Review
Guarded Changes
Check code changes, package edits, generated docs, and test evidence before a developer accepts the work.
Evidence
Decision Records
Keep the original request, agent output, validation results, and reviewer decision in one durable trail.
Services
Guardrails for the moments where agent speed creates risk.
Hakama gives engineering teams a narrow control layer around AI coding agents without slowing the developers who use them.
Intent Contracts
Turn a natural-language request into explicit scope, constraints, acceptance criteria, and allowed execution boundaries.
- Task scope
- Risk profile
- Acceptance checks
Review Gates
Check agent output against policy, repository rules, tests, dependencies, and documentation expectations before handoff.
- Diff inspection
- Policy checks
- Test evidence
Audit Trails
Keep prompts, contracts, diffs, decisions, and validation output together so teams can review what changed and why.
- Run history
- Decision records
- Team review
How we work
Fast enough for agents. Disciplined enough for engineering teams.
01
Contract
Convert a request into scope, constraints, file boundaries, and expected proof.
02
Check
Review the resulting diff, tests, dependency changes, and policy-sensitive output.
03
Record
Attach the instruction, decision, and validation trail to the accepted change.
Field notes
Implementation notes
Policy
How to scope an agent run
Define file boundaries, allowed tools, and acceptance checks before the coding agent starts work.
Review
What belongs in a change gate
Check diffs, dependencies, generated docs, and test evidence before a human accepts the output.
Evidence
Why audit trails matter
Keep requests, validation output, and reviewer decisions together so teams can explain agent changes later.
Ready when you are
Give your team agent speed with reviewable intent, checks, and evidence.
FAQ
Hakama questions, answered
What does Hakama do?
Hakama adds a control layer around AI coding agents by turning requests into explicit contracts, checking output, and preserving evidence for review.
Who is Hakama best for?
Hakama is best for engineering teams experimenting with Claude, Codex, Gemini, and similar coding agents that need clearer policy and review boundaries.
How does a pilot usually start?
A pilot usually starts by mapping agent workflows, defining review gates, and choosing the evidence teams need before accepting generated code.
Does Hakama replace code review?
No. Hakama makes code review easier by keeping intent, constraints, validation output, and agent changes together before a human makes the final call.