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ENTERPRISE AI TRAINING

AI for Developers

For engineers who own or shape SDLC

Developers ship the featuresthat make the revenue.The market moves at rabbit pace.They move at snail pace.

A one-day workshop on closing the gap. Not autocomplete. Not vibes. The actual agentic SDLC workflow — plan mode, subagents, hooks, verification loops — that lets a small team ship like a bigger one, without giving up quality. Pick your stack: Claude Code or Antigravity.

Request dates for your teamWhat's covered

The same ticket. Two workflows.

Without an agentic coder

Read ticket, skim codebase           ~30 min
Write code, autocomplete             ~3 hr
Run tests, debug failures            ~1 hr
Open PR, wait for review             + a day
Address review comments              ~2 hr

2 days for a medium feature

With an agentic coder

$ <agent> /plan "add rate limiting to /api/signals"
→ Agent reads repo, proposes a plan across 4 files
→ You review the plan, approve or redirect
→ Agent writes code + tests in plan-mode edits
→ Verification subagent runs devil's-advocate review
→ Commit hook: lint + tests + doc regen
→ You open the PR with 80% of review already absorbed

~3 hours for the same feature

PICK YOUR STACK

Which ecosystem are you on?

Apps you’ll use

  • Claude Code CLI
  • Plan mode
  • Subagents
  • Hooks
  • MCP servers
  • /skills

Integrations

  • GitHub via gh CLI
  • Local IDE of choice
  • MCP for internal APIs and data warehouse
  • Hooks for lint/test/docs

A day in the life

Before: Rohan, a senior engineer, gets the rate-limiting ticket on Monday. He reads it, skims the API folder, opens five files, writes a draft, runs tests, debugs three failures, opens the PR Tuesday afternoon, addresses review Wednesday. Two days for one ticket.

After: Rohan runs `claude /plan "add rate limiting to /api/signals"`. Claude Code reads the repo's CLAUDE.md, proposes a plan across four files, runs in plan mode with verification subagent on every commit. PR opens Monday afternoon with 80% of review already absorbed. Three hours.

WHAT YOU’LL TAKE HOME

  • Agentic coder across the full SDLC — not just codegen
  • A repo-wide context file so conventions never get re-taught
  • A verification subagent that reviews your PRs
  • Commit hooks that run lint, tests, and docs automatically
  • The lift, measured — PR throughput, cycle time, MTTR

Take home: a CLAUDE.md/AGENTS.md, a verification subagent, a hooks config, a 30/60/90-day adoption plan.

WHO TEACHES THIS

Ajinkya Kolhe

Ajinkya Kolhe

CTO

11 years in AI — from Google Cloud to IIT Bombay to Morgan Stanley. 300,000+ developers across 7+ countries. Built the SIRA risk framework and the live Pulse dashboard. 2x TedX Speaker.

LinkedIn →Full bio →

On-site or remote. Built for 10–20 engineers on the same codebase. Enterprise subscription required (we'll help you scope it). Duration scoped per engagement.

Mail ajinkya.kolhe@purnamedha.ai for team details.

Request dates for your team