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AI-assisted engineering enablement

Adopt coding agents across your engineering team with the specifications, context, review gates and security controls that keep output supportable.

Typical timing
6–8 weeks
Engagement
Fixed scope
Delivery framework
User researchDiscoveryAlphaBetaLive

Help an engineering team get real productivity from AI coding agents without trading away quality or security. We call it hive code, not vibe code: spec-first work, your codebase context wired into the tools, provenance on every change, and review gates no generated line skips.

  • Developers use AI tools individually, with no shared standard
  • Security or compliance teams are uneasy about generated code
  • Productivity gains are claimed but not measured
How it runs

Activities, step by step

The plan follows our delivery framework. Steps that do not apply to this kind of work are left out rather than padded.

  1. 01 · User research1 week

    Baseline

    • Survey and interviews with engineers
    • Delivery metrics baseline: lead time, review time, defects
    • Inventory of AI tools already in use, sanctioned or not
  2. 02 · Discovery1–2 weeks

    Operating model

    • Tooling choice and policy for agent use
    • Context design: repositories, standards and runbooks via MCP
    • Review, provenance and security controls defined
  3. 03 · Alpha3 weeks

    Pilot squad

    • One team works spec-first with agents on real backlog items
    • Pairing and coaching from our AI engineers
    • Metrics compared with the baseline
  4. 05 · Live1–2 weeks

    Roll out

    • Playbook and training for all teams
    • Guardrails enforced in the pipeline
    • Quarterly measurement cadence

Deliverables

What you keep at the end.

  • AI-assisted development policy and playbook
  • Configured agent tooling with codebase context
  • Pipeline controls: SAST, secrets scanning, SBOM and provenance
  • Before-and-after delivery metrics
  • Training for engineers and reviewers

Outcomes

What it is built to change.

  • Measured, not anecdotal, productivity gains
  • Generated code held to the same standard as human code
  • A team that can adopt new tools safely on its own