What's next?
AI has moved the bottleneck
March 12, 2026
let's rewind
Claude Code: research preview
the GA to take place a few months after
OpenClawdMoldBot
wait, what?
Plan mode doesn't exist
Cursor to ship it quarters later
GPT 4o, Sonnet 3.5
are the best in class models
February 2025
was 4 years ago
. . .
I'm not getting paid by Pepsi. I prefer Coca-Cola.
What has it
changed for us?
and no, they're not getting smaller
- continous PRs/eng records
- avg PR size has increased (!)
- we are still learning how to use AI
- safe to assume: new releases
the change in productivity and throughput is real
Code shipped
≠
value created
...but it does help creating value,
and we'll get back to it
Problem definition
↓
Solution design
↓
Code creation
↓
Review
↓
Deploy
↓
Observability (Product & Tech)
↓
Learn & iterate
Systems like these don’t like changes.
When one stage accelerates, the constraint moves.
Problem definition
↓
Solution design
↓
Code creation
↓
Review
↓
Deploy
↓
Observability (Product & Tech)
↓
Learn & iterate
Teams, workflows, ways of working optimized for slower coding need to adapt.
What are the opportunities?
-
Product engineering: problem/solutionizing ownership
-
Releasing the review pressure
-
Shipping confidence: tech and product observability
Product egineering
smart image by Andre Barro
Where to start?
-
run/participate in research (qual/quant)
-
develop metrics & monitor the product (Mixpanel)
-
connect with users (interviews)
-
...
-
drive learning and iterating
-
own solutionizing
Context is the new moat
Before: Product -> Engineering context
Now: Product -> Engineering -> AI context
Product and engineering docs (design docs, conventions, ...) matter even more than before. So do codebase patterns
Specialized skills are mindblowing
e.g. /linus-pr-review, /migrate-to-typescript
Reviews
Increased PRs/eng
↓
More reviews/eng
↓
Review fatigue
↓
Quality risk
Paths to further explore
- local skills
- custom, own review GH actions
- trial paid solutions
- first pass with AI to reduce noise
- AI-only review for trivial changes?
Custom GH action
- Orchestrator + summary
- quality review (based on Tomasz's skill)
- conventions review (based on MarkM's GH action)
- <new sub agent - drop-in>
LF contributors and testers!
#eng-gh-reviewer
Observability
Observability
- we ship more frequently, faster
- we'll break things more often
- product will mature
- verbose alerting with clean boundaries
- pattern (tech + product) monitoring
- SLOs
- incidents learnings + CFR monitoring
Action items for tomorrow?
- become friends with Mixpanel and qual research
- AI first pass reviews + trial tooling (internal/external)
- Context and guardrails: docs, specialized skills, ...
- double down on observability
- Do I know how I’ll determine whether it’s a success?
Antrophic paradox
80+% of code at Anthropic is AI-written.
- Boris Cherny, Head of Claude Code, January 2026
