AI-Assisted Development

AI-Assisted Development compound.

Buying every engineer a Cursor seat doesn't make them faster. The compounding gains come from prompt patterns, context engineering, code-review discipline, and a clear policy on what AI can and can't generate. We help your engineering org go from "some people use it" to "velocity is up 30% measurably and security is down 0%."

  • Tool selection — Cursor, Claude Code, Copilot, Cline — picked by codebase + culture.
  • Prompt + context-engineering playbook your team actually reuses.
  • Code-review policy — what AI-generated code requires extra scrutiny.
  • Productivity measurement that doesn't game itself (we don't trust LOC).

Most teams running AI-assisted dev are running it like a benchmark. The compounding teams run it like a discipline.

§ 02 / Authority

From the roomsI've been in — and the feeds that came out of them.

Live shorts. LinkedIn originals. Unedited.Read all 11 field notes →

YouTube · Featured short
PMI Gujarat Chapter
in · LinkedIn

PMI Gujarat · Keynote · Dec 2024

I had the incredible opportunity to be part of the PMI Gujarat Chapter — NEXTGEN Project Management, elevating our world through emerging technologies.

Live · this quarter

48,000+

LinkedIn impressions

  • Field notes11
  • Industries20
  • Years shipping15+
Expert Session
in · LinkedIn

Karnavati · AI Conclave 2025

Unlocking the Power of AI: it's all about the right prompt. At Karnavati University, I had the privilege of sharing a key insight…

Atmiya AI Summit
in · LinkedIn

Rajkot · Keynote · 2025

What happens when AI meets India's social and rural future? You get a room full of students, academics, and leaders in Rajkot asking the questions that actually matter.

YouTube · Short
YouTube · Short
Project Managers' Forum
in · LinkedIn

PM Forum · Off-script · 2025

I walked into a room of 45+ project managers. No slides. No deck. No script.

  • PMI Gujarat
  • Karnavati University
  • Atmiya AI Summit
  • HP WeRise · Ahmedabad
  • Project Managers' Forum
  • NIFT Gandhinagar
  • MeitY · Digital India
  • UIT Karnavati
  • Ahmedabad founder circle
  • PMI Gujarat
  • Karnavati University
  • Atmiya AI Summit
  • HP WeRise · Ahmedabad
  • Project Managers' Forum
  • NIFT Gandhinagar
  • MeitY · Digital India
  • UIT Karnavati
  • Ahmedabad founder circle

What this means in practice

We start by reading how your team actually works — what slows them, what blocks them — then choose tools and patterns that solve those specific problems. The output is a playbook, not a webinar.

  • 01

    Tool selection memo — which AI dev tool to standardise on, with the trade-offs.

  • 02

    Prompt + context-engineering playbook — concrete patterns for the recurring jobs in your stack.

  • 03

    Code-review augmentation — checklist for AI-generated code, with false-positive examples.

  • 04

    Velocity dashboard — measurable, gameable-resistant indicators.

Engagement shapes

2 ways to engage on AI-Assisted Development. Pick the closest fit; we calibrate scope on the diagnostic call.

  • 01

    4 wk

    Pilot rollout

    One team, one tool, one playbook, one measurable outcome. Used to build the case for org-wide adoption.

  • 02

    8–12 wk

    Org-wide enablement

    Multi-team rollout. Tooling, training, governance, measurement. Hand-off includes the org's living playbook.

For

Who this fits

  • Engineering orgs of 20–500 considering or already mid-rollout of AI dev tools.
  • VPs of Engineering accountable for delivery velocity who need real data, not vendor case studies.
  • Security / platform leads worried about AI-generated code in their codebase.

Not for

Honest gates

  • Solo engineers — read our blog, don't hire us for this.
  • Teams who've already standardised and just want a stamp of approval — we'll find friction you'd rather not see.

FAQ

About this service.

  • Which AI dev tool should we standardise on?
    Depends on your codebase size + privacy posture + IDE preference. Cursor for VS-Code-heavy teams that want full agentic flow; Claude Code for terminal-first / multi-codebase work; Copilot for orgs that need Microsoft compliance + enterprise SSO; Cline as a free-tier starting point. The 4-week pilot tests two of these against your real backlog.
  • Code-review concerns — how do you mitigate AI-generated code in production?
    Three-part policy: (1) every AI-generated PR is labelled in CI; (2) reviewers run an additional checklist for AI-flagged PRs (test coverage, dependency check, magic-number detection); (3) random audit pulls 5% of merged AI PRs each sprint for deeper review. Velocity gain stays; security debt doesn't accumulate.
  • How do you measure velocity without LOC games?
    Lead-time-for-changes (commit → production) + change-failure-rate + time-to-restore. Industry-standard DORA metrics. Pre / post — usually a 30–50% improvement in lead-time after a clean rollout. We deliberately don't track LOC or commit count because they game themselves.
  • Security implications of AI-generated code in our codebase?
    Real and worth taking seriously. Common patterns we coach: explicit refusal of AI suggestions for auth code without senior review; SCA (Snyk / Dependabot) on every AI-generated PR; secret-scanning hooks on commit; threat-model for prompt-injection in CI tooling. None of this is unique to AI; AI just makes the existing security debt more visible.
  • Onboarding new engineers — does this help or hurt?
    Helps significantly when the playbook is in place. New engineers ramp 30–50% faster with AI-assisted dev because the tools encode "how things are done here." Hurts when the playbook isn't there — new engineers absorb whatever bad habits the senior engineers happen to have.
  • Cost — Cursor vs Copilot vs Claude vs Cline?
    Cursor: ~$20 / engineer / month (Pro tier); Copilot: ~$19 (Business); Claude Code: token-based ($30–$200 / engineer / month depending on usage); Cline: free + bring-your-own-API-key. The price difference is noise compared to the engineer's salary; pick on capability fit, not cost.

Related services

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Voices from the rooms

48,000+ impressions · 11 notes · 9 venues

  • PMI Gujarat Chapter
    PMI Gujarat · Keynote · Dec 2024
  • Expert Session
    Karnavati · AI Conclave 2025
  • Atmiya AI Summit
    Rajkot · Keynote · 2025
  • Project Managers' Forum
    PM Forum · Off-script · 2025

Next step

Tell me what you’re trying to ship.

One brief, one inbox, one reply within a business day. Either a calendar slot, a referral, or a straight no — we don’t bench-fit work that isn’t a fit.