Research notes from agent developers
How we think about building, deploying, and governing AI agents inside the data workspace. Engineering insights, industry analysis, and original quantitative research from the team shipping Deepnote.
Industry reports
To build a pioneering product, our team conducts industry studies to understand and anticipate the needs of the market. Get access to exclusive reports.
The State of Data Leadership 2026
A quantitative study of ~40K data, analytics, and AI leaders across 90+ countries. Who leads data today, where they came from, where they go next, and how organizations are absorbing agentic AI.
~40K
leaders
analyzed
90+
countries
represented
deepnote
Research
New research · April 2026
The State of Data Leadership in 2026
Mapping every major flow between ~15k companies and the careers of ~40K data leaders across 90+ countries.
01 · Career velocity
Speed to director by education
This major hits director 2.2× faster than CS/IT grads.
02 · AI era takeover
Leaders with AI/ML in title
10.5 → 34.9% in seven years · +232%.
03 · What drives promotion
Effect on promotion probability
Masters+ +1.4pp · Geo move +0.8pp · Tenure +0.3pp.
04 · Gender across the ladder
Share of women by seniority
Manager 38% → C-suite 23% · monotonic.
Development insights
Sharing our learnings from our forward-deployed engineers who help leading companies building data workspaces for agents & humans safely and scalably.
Your data team is already building a context layer. They just don't call it that.
How separating planning from execution — with cell-level reactivity — lets the agent self-correct without touching production data.
Jakub Jurovych
Apr 28, 2026
11 min read
How we used Claude Opus 4.6 to fix failing E2E tests
How our QA agent triages, reproduces, and patches Playwright failures — and the prompt patterns that made the biggest difference.
Tomas Kislan
Apr 14, 2026
9 min read
Data notebooks as the atomic unit for RL
Why a reactive notebook — with its data, code, and outputs in one place — is the right atomic unit for training and evaluating RL agents.
Jakub Jurovych
Mar 31, 2026
7 min read
AI briefings & outlook
Curated bi-weekly roundup of how AI is reshaping the industry, academic signals, and the latest on AI agents, LLMs, and AI infrastructure.
Data Deep Dives
Anthropic's $100M cyber defense coalition
Anthropic's $100M cyber defense coalition, GPT-5.5, and the agent stack converging
Anthropic anchored a $100M coalition to harden AI-era cyber defense, GPT-5.5 raised the bar again on reasoning and coding, and after a year of churn the production agent stack is finally converging on a small set of repeatable patterns.
Data Deep Dives
Deepnote's Substack
Data Deep Dives
OpenAI and Anthropic eye 2026 IPOs
OpenAI and Anthropic eye 2026 IPOs, Cursor's Composer 2 beats GPT-5.4 on cost, and SlopCodeBench delivers bad news
Both labs signaled 2026 IPO timelines, Cursor's Composer 2 beat GPT-5.4 on cost at comparable quality, and the new SlopCodeBench results delivered uncomfortable news about how today's models actually perform on real engineering work.
Data Deep Dives
Deepnote's Substack
Data Deep Dives
Meta delays Avocado frontier model
Meta delays Avocado frontier model to May, Cursor, Ramp, and Anthropic race to build agent infrastructure, and GPT-5.4 merges the model stack
OpenAI collapsed its fragmented model lineup into GPT-5.4, the first model to combine reasoning, coding, and computer use while simultaneously shipping Codex-Spark at 1,000+ tokens per second on Cerebras hardware, a quiet signal that inference infrastructure is diversifying beyond NVIDIA.
Data Deep Dives
Deepnote's Substack