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.
Recent engagements
Real teams shipping with agents — without losing control
Anonymized snapshots from the last 12 months. We’re happy to share more context (including metrics and process) on a fit call.
B2B SaaS platform
80 engineersDefined AI coding agent PR workflow and review checklist. Cut oversized diffs and restored reviewer confidence across the team in under three weeks.
Fintech infrastructure
Platform teamMapped data boundaries and secrets handling for coding assistants and CI agents. Security approved a phased rollout tied to existing audit trails.
Series B product company
Product engineeringRan a two-week onboarding intensive with shared prompt templates, ownership model, and metrics focused on quality—not token volume.
B2B SaaS (platform team)
45 engineersEmbedded the PR review checklist + Task Delegation Scorecard into their process. Reviewer turnaround on agent PRs dropped from 3+ days to same-day.
Grounded answers from your documents—not generic chatbot guesses
For founders, operators, and teams in any industry who need answers grounded in their own documents—not generic chatbot guesses.
Konuke designs and builds retrieval systems for any business: secure ingestion, hybrid search, citations, and access control so teams trust what the AI returns.
Discovery & scope
Map your knowledge sources, users, and risk profile so the RAG answers the questions your business actually asks.
Custom RAG build
End-to-end retrieval systems tuned to your content: ingestion, chunking, embeddings, retrieval, and grounded generation.
Secure rollout & ops
Ship something your team can trust: authz, logging, evals, and a path from pilot to production.
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.
Oct 18, 2026
AgentOps: versioning, staged rollout, and rollback for a non-human workforce
You already know how to ship software safely—version it, roll it out to a sliver of traffic, watch the metrics, and roll back the moment something breaks. Agents deserve the same discipline, but almost nobody applies it. A change to a prompt, a model, or a tool can silently alter behavior across every task an agent touches, with no diff, no version, and no way back. Here is how to treat agents like deployable artifacts: pinned versions, canary releases, and a rollback you have actually rehearsed.
Oct 11, 2026
Analyst agents: putting AI on your data warehouse without leaking the business
"Why did churn spike in the Northeast last week?" used to mean a ticket, a queue, and a three-day wait for an analyst. An agent that can write SQL, read the warehouse, and draft the chart answers it in minutes—and that is exactly the problem. The same query engine that powers self-serve analytics can exfiltrate the entire customer table if you point it at the wrong schema with the wrong credentials. Here is how to put agents to work as analysts without handing them the keys to the business.
Oct 4, 2026
Building an internal agent platform: golden paths for a non-human workforce
Once every team is spinning up its own agents, the bottleneck stops being the model and starts being the plumbing. An internal agent platform turns scattered one-off bots into a governed, self-serve capability—identity, tools, guardrails, and observability wired in by default. Here is how to build the platform layer that lets agents proliferate safely instead of becoming shadow IT with an API key.