Three pains every sales and BD team hits weekly. Each one is what your reps actually complain about, not what a feature page would call them.
Code review backlogs grow when the senior engineers who should read a diff are stuck in meetings instead.
Security audits, performance profiling, and accessibility checks get skipped under deadline pressure, one at a time, until none of them run.
Pull requests wait on 3-4 reviewers with different specialties who each look at it a day apart.
Every pipeline below is a shape you wire on the canvas using the crew and tools further down. Not a feature we ship for you, a pattern you configure.
A pipeline built in Melaya Agents runs the tech_team crew's 10 personas in sequence on one diff. RustPythonEngineer and BackendEngineer check code quality, SecurityAuditor audits the attack surface, PerformanceExpert applies the USE method, FrontendEngineer and UIUXDesigner grade the UI, and TechLead synthesizes a single PRODUCTION_READY / NEEDS_FIXES verdict.
Pull merge-request context, issues, and file history from GitHub, GitLab, Gitea, or Codeberg with one tool call each, without opening four separate tabs. BackendEngineer or DevOpsEngineer reads the diff and TechLead cites the real file and line in the verdict.
Connect Claude Code, Cursor, ChatGPT, or Le Chat to api.melaya.org/mcp over OAuth 2.1 and grant the melaya:pipelines scope (7,307 tools) to fire a tech_team review straight from the assistant you already pay for. Pair it with melaya:browser (7,307 tools) to open the staging build in a real browser and check the change live.
SecurityAuditor or PerformanceExpert checks npm, PyPI, and crates.io package info and download trends for a new dependency before it lands, flagging an abandoned or newly-spiking package by name.
TechLead's synthesis becomes a Jira or Linear issue, or a Notion page, with severity, blast radius, and the top-3 fixes, without a human retyping the findings.
useCases.list.engineering.workflows.5.body
Real personas from the tech_team crew. Each ships with a tuned system prompt and a default tool allowlist. Swap models per persona on the canvas.
Synthesizes findings from every specialist into a sprint plan with named owners, day-level deadlines, and measurable success criteria.
Reviews Rust and Python code for unwrap risk, hot-loop allocations, FFI overhead, and tokio blocking calls that would crash a 24/7 service.
Audits REST and WebSocket integrations, retry logic, decimal precision, and reconciliation coverage so state never drifts silently.
Runs the ten-item OWASP checklist against the diff, flags CWE numbers, and writes the step-by-step attack path before recommending a fix.
Applies the USE method to every component, estimates p50, p95, p99, and ranks the three highest-ROI hotspots with expected gain and measurement method.
Profiles the signal-to-order path against a documented latency budget and proposes ranked optimizations with effort and verification steps.
Scores the SRE posture across CI/CD, secrets, observability, DR, and alerts, naming the runbook gaps that would extend the next outage.
Reviews React components for stale closures, missing memoization, WebSocket leaks, and bundle bloat against fixed performance budgets.
Audits trader-facing screens for data-ink ratio, fast-scan effectiveness, keyboard coverage, and WCAG AA contrast.
Audits onchain interactions across EVM, Cosmos, Solana, NEAR, and Sui, scoring reentrancy, oracle, MEV, and bridge risk in audit-firm format.
Every tool below is a real shared tool from the Melaya bundle. Allowlist per agent; HITL-gate the writes; revoke any of them in one click.
Read-only access to the repo so RustPythonEngineer and FrontendEngineer can pull the diff, blame a line, and grep for patterns. No writes, so nothing ships without a separate HITL-gated step.
Pull merge requests, project metadata, and file contents from GitLab so the review crew works against the real diff. Read-only by design; comments and approvals route through a separate HITL gate.
Same review surface for teams on Codeberg or self-hosted Gitea. Reads only. The agent drafts the review, an engineer posts it.
Resolve dependency metadata, last-publish date, and download counts so SecurityAuditor can flag stale or abandoned packages in the diff. Read-only fetches against public registries.
Read cluster state, pull pod logs, and stage manifest changes for DevOpsEngineer's runbooks. k8s_apply and aws_cli writes are HITL gated by default so no rollout happens without an SRE approving.
File the action items TechLead produced as Jira or Linear tickets with owners and deadlines, and drop the post-mortem into Notion. Every create call is HITL gated so titles and assignees are reviewed before the ticket exists.
Build the per-workflow knowledge store from ADRs, past post-mortems, coding standards, and security playbooks. Feeds all three knowledge layers for every persona on the crew.
Push the synthesized review summary or incident timeline to the on-call channel. Sends are HITL gated so the wording is approved before the room sees it.
Every pipeline ships with three layers of knowledge access. Mix and match per agent on the canvas. No shared vector space with another tenant, no surprise reads, no opaque retrieval.
includeContextPer-pipeline documents appended to specific agents' input on every run. The ICP brief, playbook, pricing sheet, or won-deal email corpus. Whatever needs to be there before the agent thinks. You pick which personas get which docs.
rag_retrieveA scoped tool granted per-agent. When the agent decides it needs more depth, it queries the workflow's vector store on demand. Same knowledge base as Static context, accessed only when the model asks for it.
pipeline_memoryPipeline-level state that carries from one run to the next. Yesterday's research is in scope for today's follow-up. The crew remembers what it already prospected, what got approved, what was sent. The audit log is the second-order knowledge base.
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