Offerings — AI Coding Adoption

From vibe coding to agentic engineering.

We help you understand where your team sits on that path today, and what it takes to move forward — enabling agentic reasoning over your codebase with precision.

The transition

Vibe coding is imprecise by nature. Agentic engineering doesn't have to be.

Vibe coding gets you moving fast — but a developer's intent and what actually gets shipped are only loosely connected. It's like firing twenty rockets and hoping a few land where you meant them to. The AI doesn't understand your codebase deeply enough to reason about consequences, so intent and outcome drift apart.

Agentic engineering closes that gap. When an AI agent reasons over your codebase with precision — its architecture, its history, its constraints — intent and outcome start to line up reliably. That's the substrate we work with here: not time-series, but code.

Vibe coding

Vibe coding: many intents, few land on goal A diagram showing many trajectories fired from a single developer intent, most missing a small goal target and scattering across the canvas, with only two landing inside it as arrows. GOAL INTENT

Many intents fired. Most miss. The AI can't reason precisely enough about your codebase to land where you meant.

Agentic engineering

Agentic engineering: intent reliably lands on goal A diagram showing multiple trajectories fired from a single developer intent, all passing through a labeled codebase reasoning layer and converging tightly inside the goal target as arrows. Codebase reasoning layer GOAL INTENT

Grounded in your codebase, intent now reliably matches goal — agentic reasoning with precision, not guesswork.

Where are you today

Coding maturity isn't binary either.

Just as with reasoning readiness for time-series data, agentic coding maturity is a path, not a switch. Most engineering teams sit somewhere in the middle — using AI to accelerate typing, but without the codebase grounding that lets an agent reason about consequences before it acts.

Vibe coding
Prompt-assisted development
Reviewed AI contributions
Codebase-indexed reasoning
Guardrailed agentic delivery
Agentic engineering with precision

What precision looks like

Reasoning over your codebase, the way you'd reason over your telemetry.

The same discipline behind reasoning readiness for time-series applies here — the substrate is your codebase instead of sensor data. An agent that's actually grounded in your code can answer questions no linter or autocomplete tool can.

Impact analysis

"Which services would this schema change break, and why?"

Intent tracing

"Why does this function exist — what was the original intent behind it?"

Root cause

"Trace this bug to the exact commit and the reasoning that introduced it."

Safe delivery

"Can this refactor ship without violating our existing invariants?"

Engagement

Two steps: understand where you are, then close the gap.

We follow the same entry motion as our reasoning readiness work — an assessment first, then implementation once you know what's needed.

STEP 1

Agentic Coding Readiness Assessment

"Where does your team sit between vibe coding and agentic engineering — and what's in the way?"

  • Current AI-assisted workflow review
  • Codebase structure and documentation maturity
  • Gap analysis against agentic-ready practices
  • Use cases ready today vs. use cases that will fail
  • Adoption maturity score
Output A practical report showing where agentic engineering can deliver value today, and what stands in the way.

STEP 2

Codebase Reasoning Layer

We build the grounding that lets an agent reason over your codebase with precision.

  • Codebase indexing and dependency mapping
  • Architecture and intent documentation ingestion
  • Guardrails and validation for agentic changes
  • Integration with your existing tooling and review process
  • Initial agentic engineering workflows
Output A production-ready reasoning layer your engineering agents can build on — intent, reliably matching goal.

Not sure where your team stands?

Start with the Agentic Coding Readiness Assessment and find out.

Talk to us →