Agentic Coding & Delivery
Agents write, review and ship code, multiplying output while multiplying what needs to be reviewed, secured and governed.
AI-native products, agentic coding, copilots in the loop. We help software teams move at AI speed without shipping security, eval and cost debt with it.
Your teams are already building on Claude, Codex and open models, and moving fast. The wall they hit is the same one everyone hits: APIs that aren't agent-ready, evals no one wrote, and a sprawl of tokens and agent credentials no one governs. The challenge is scaling AI without scaling risk. That's exactly what we harden.
What's Happening Now
AI has moved from a feature to the foundation, changing how software is built and what it does.
Agents write, review and ship code, multiplying output while multiplying what needs to be reviewed, secured and governed.
AI copilots and assistants are becoming the interface, each one a new surface for accuracy, cost and abuse.
Fleets of agents now call your APIs and act on your systems, a scale of non-human activity classic security was never built for.
The AI Challenge
Shipping AI is easy; shipping it safely is not. The struggle is the risk that accumulates behind fast-moving AI teams.
Agents can only act on systems they can safely reach. Legacy and ungoverned APIs stall every agentic build the moment it touches real data.
Tokens, keys, service accounts and agent credentials now outnumber people, long-lived, over-scoped and rarely rotated. A breach waiting to happen.
Human- and agent-written code shipped without evals or supply-chain controls invites regressions, cost blowouts and malicious packages.
We make your APIs agent-ready, put evals and cost control around every AI feature, and govern the tokens and agents calling your systems, so you ship at AI speed without shipping security and cost debt with it.
How We Help
We build the layer under fast AI teams, secure, evaluated and cost-controlled, so speed compounds instead of breaking.
Clean, governed APIs and MCP servers so agents can act on your systems safely, the interface agentic products depend on.
Eval suites, drift monitoring and token telemetry with smart model routing, so AI features are accurate and their economics are known.
Inventory, rotate and scope down tokens, keys and agent credentials, short-lived, workload-federated, and monitored for abuse.
Review and audit of human- and agent-written code with signed commits, protected branches and artifact attestation in the pipeline.
Pipelines both people and agents move through across every environment, with cloud workloads sized for agent and API traffic.
Senior engineers who ship AI-native products fast, from prototype to hardened, production-grade release.
The outcome: AI shipped at startup speed, secure, evaluated and cost-aware.
How We've Helped
We hardened a fast-scaling software company's agentic stack, after a live supply-chain attack forced the issue, without slowing the team down.
Case study · Fast-scaling software company
We tracked and contained a live GitHub supply-chain attack, then closed the gaps behind it, governing non-human identities, building an agent-ready API and pipeline layer, and wrapping AI features in evals and cost control, so the team kept shipping without shipping risk.
Read the case studyReady to Adopt AI Safely?
Book a consultation for a fixed-scope assessment of your API, eval and security readiness for agentic AI.
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