Ship with AI coding agents without losing security, review, or control.
For VP Engineering, Heads of Platform, and CTOs at B2B SaaS companies (roughly 20-200 engineers) deploying AI coding agents and secure autonomous workflows.
Konuke helps engineering leaders move from tool experiments to accountable autonomous workflows: onboarding, operating models, and hands-on consulting so delivery stays predictable and reviewers stay confident.
Bounded autonomy. Human approval gates. CI-backed delivery.
Outcomes teams care about
Anonymized snapshots—happy to share more detail on a fit call.
B2B SaaS · 80 engineers
Defined an AI coding agent PR workflow and review checklist; cut oversized diffs and restored reviewer confidence in under three weeks.
Fintech · platform team
Mapped data boundaries for coding assistants and CI agents; security signed off on a phased rollout tied to existing audit trails.
Series B · product engineering
Shipped a two-week onboarding intensive: shared prompt templates, ownership model, and metrics that tracked quality—not token volume.
What engineering buyers are asking for now
The market has moved past "who has a coding assistant?" Leaders need proof that autonomous workflows are secure, observable, and repeatable.
Autonomy with receipts
Teams want agents that can do bounded work, leave reviewable evidence, and fit into PRs, CI, and incident processes.
Security before scale
AI coding agent rollouts need data boundaries, secret hygiene, vendor controls, and human approval paths before production work expands.
Operating models, not tool demos
The durable advantage is a repeatable system: ownership, prompts, review norms, metrics, and onboarding that survive beyond a pilot.
What we mean by agent-driven development
It is not “more autocomplete.” It is a delivery practice where agents own bounded tasks, humans own judgment, and your repo stays the source of truth—with reviews, CI, and traceability intact.
Agent-native workflows
Design how humans and AI coding agents split work: specs, reviews, tests, and deploys, so velocity does not trade off quality.
From pilot to practice
Turn experiments into team habits: branching strategies for prompts, evals, ownership, approval gates, and clear escalation paths.
Guardrails that fit
Security, privacy, and compliance aligned to your stack—secrets handling, data boundaries, and safe automation.
Ready to onboard your team to secure AI-native delivery?
Start with a fit call. If you prefer async, use the contact form—we reply within one business day.
Start with the playbooks buyers already need
Security, PR review, and onboarding resources are the highest-signal paths for teams comparing AI coding agent rollouts.
Security review checklist
Evaluate AI dev tools, agent workflows, data flows, secrets, and logging.
PR review checklist
Keep agent-generated diffs narrow, testable, and easy to approve with confidence.
AI onboarding checklist
A practical starter artifact for team norms, rollout risks, and operating cadence.
Latest field notes
Practical writing on agents, teams, security, and shipping.
May 18, 2026
Agents in the business loop: use cases, security, and why agent-driven work is becoming the default
Beyond the IDE: where agents already earn their keep in revenue, risk, and operations—and why treating them like first-class collaborators is the only sustainable path.
May 12, 2026
An AI coding assistant rollout plan that engineering teams will actually follow
A phased plan focused on norms, PR hygiene, and measurable quality—so your pilot does not die in Slack debates.
May 10, 2026
PR review checklist for agent-assisted code (that reviewers can use in 60 seconds)
A short checklist to keep agent-generated diffs reviewable: intent, scope, tests, and security hotspots—without turning every PR into a debate.