PCPL Dev Core Team • February 2026
We went from Cursor → Claude Code. What's the next leap?
They shipped 50+ features in 2025. Their engineers fix bugs and ship features from their phone on the morning commute.
💡 These aren't startups experimenting. These are enterprises with thousands of developers seeing measurable, material improvements.
Engineer types in Slack from phone: "Fix the shuffle bug on iOS"
Claude Code reads repo, writes fix, runs tests automatically
New build pushed to engineer's phone via Slack for testing
Engineer approves → merged to production. Done.
🎯 Key insight: The best developers became reviewers and architects, not typists. They spend time on what to build and why, not how to type it.
Copilot, Cursor autocomplete. AI suggests, you accept/reject. You're still typing.
PCPL: Been here ✓Claude Code / Codex locally. Powerful — but one agent, one task, one branch. Your machine is blocked while agent works. You wait.
PCPL: We're here nowMultiple agents, multiple branches, in parallel. Fire off 3 tasks before standup. Review all 3 MRs by lunch. Your machine stays free.
THE NEXT LEAP →💡 Level 3 is what Spotify built with "Honk." Two big shifts: chat replaces IDE as the interface, and you can run multiple agents in parallel — one fixing a bug, another building a feature, a third writing tests. That's the real multiplier.
Chat-first, IDE when needed.
A Mac Mini with all repos cloned, test suites ready, and specialized AI agents
that your team talks to on Slack — owned by the dev team, built for the dev team.
No IDE needed • Code from your phone • Tests run before you even see the branch
Every product's repo is cloned with dependencies installed and test DB configured. Agents run rspec, gradle test, flutter test locally before pushing. The branch you get back has already passed tests.
Devs don't SSH in or open an IDE. They message on Slack or Telegram: "Fix the pagination bug in cuelinks API" — and get back a tested, reviewed branch ready for merge.
What if an agent could read a PRD, understand our current architecture, and ask the right questions to Product before a single line of code is written?
🎯 This is where developers become more critical, not less. The agent surfaces the right questions. The developer's architectural thinking and domain knowledge is what makes the answers valuable. PRD → refined requirements → code is a better pipeline than PRD → guesswork → code → rework.
Every task = a git workflow tax:
git checkout -b → create branchgit add / commit → stage & commitgit pull --rebase → resolve conflictsgit push → push to remote~5-10 min per task × dozens of tasks/week
You say what you want. Agent handles the rest:
You just review and merge. Zero git commands.
🎓 Huge for junior devs. No more fighting with rebase conflicts, detached HEADs, or accidentally pushing to main. The learning curve for git disappears — they focus on understanding code, not git commands.
🙋 This is just an example structure. Every developer on this call will help define and refine what goes into these files. You know your repos best — you'll write the playbook that teaches the AI how your codebase works. This is collaborative, not top-down.
Example: You change the publisher panel (cuelinks) but migrations live in cuelinks_admin.
Solution: Dependency Maps
Each repo's .agents/ARCHITECTURE.md documents:
Agent reads the dependency map and works across repos when needed:
💡 This is exactly how a senior dev thinks — "where does this actually live?" The .agents/ docs encode that tribal knowledge so the AI doesn't have to guess.
🎯 Think of it this way: the branch you get back has already passed unit tests + code review + lint. Your job shifts from "does this code work?" to "does this feature do what we want?"
Great autocomplete, inline chat, Composer. But still individual, still IDE-bound. We outgrew this.
Powerful, local, full repo context. But still requires dev's terminal, dev's machine, dev's attention. One dev = one agent at a time.
Dedicated Mac Mini with all repos + test suites. Agents code, test, review, push — devs interact via chat. Multiple devs can use agents simultaneously. Tests run before branch is handed back.
Keep using Claude Code or OpenAI Codex locally for quick tasks. Use TheFoundry for bigger features, reviews, and test automation. Best of both — individual speed + shared infra.
⚡ A developer using AI effectively can do the work of 3-5 developers working manually. Same team, 3-5x the output. That's not a threat — it's a superpower.
Developers who embrace AI won't be replaced.
Developers who refuse AI will be outpaced.
No. It's replacing the boring parts of your job. The boilerplate, the repetitive CRUD, the "I've written this pagination code 50 times" work. You get to focus on the parts that actually need a human brain.
That's why you review every MR. The agent proposes, you approve. Nothing ships without human eyes. Think of it as having a very fast junior dev who never gets tired — but still needs your review.
Did calculators make mathematicians worse? You'll read more code than ever (reviewing), think about architecture more, and tackle problems you never had time for. Your skills evolve, not atrophy.
That's exactly why we need .agents/ docs — to encode the complexity. And honestly? Our cross-repo setup today? We already solved that with Maya + CodeBot. It works.
💬 If you have concerns — voice them today. This is a discussion, not a mandate. The goal is to make your life better, not scarier.
When agents handle the routine work, your team unlocks time for the engineering that actually moves the needle:
Vector search across deals, products, content. Understand intent, not just keywords. Personalisation at scale.
DesiDime + ZingoyBuild AI-native APIs that Claude, GPT, and other models can use directly. Make our platforms AI-accessible.
All ProductsDeeper affiliate network APIs, real-time deal feeds, automated campaign optimisation. More partners, less manual work.
CuelinksRun models on our own infrastructure for sensitive data processing, content generation, spam detection — without API costs.
AI-Ready InfraNatural language queries over our data. "Show me top performing campaigns this week" → instant answers, no SQL needed.
DataWizardIntelligent deal detection, automated content generation, dynamic pricing, predictive fraud detection.
All ProductsFinally have time for the work you've wanted to do but never could:
Level up years faster than the previous generation:
⚡ The goal: stop building the same APIs and forms repeatedly. Let agents handle the routine. Every developer — senior or junior — gets to do more interesting, more impactful, more career-growing work.
Talk to agents on Slack. Describe what you want. They build it.
What agents do you need? What tasks should they handle? Shape the system.
What's the first thing you'd ask TheFoundry to do?
They're the ones whose developers
have the best tools.
25 developers with the right AI setup → output of 75+
The cost of being slow is much higher than the cost of these tools.
Prepared by Maya 🎯 • Feb 2026