Pål Brattberg 👨💻
1.1K posts

Pål Brattberg 👨💻
@pal
Building to save the world! Builder, founder, father of 3, husband of 1 and patter of our CFO - Chief Furry Officer 🐾

Introducing Blink Claw - the first platform to hire unlimited AI employees that run your business 24/7. 180+ AI models included. Gmail, Slack, LinkedIn, HubSpot - one-click connect. No API keys, no $600 Mac Mini. Reply "Claw" + RT. Your first agent is on us. ($50 - 200 creds)




Interesting thought experiment: Let's run with the assumption that AI makes creating software ridiculously fast + cheap, and quality doesn't suffer (I know, I know, but let's assume) What would this mean for software businesses? Would eg they all expand scope w new products?



yes things are changing fast, but also I see companies (even faang) way behind the frontier for no reason. you are guaranteed to lose if you fall behind. the no unforced-errors ai leader playbook: For your team: - use coding agents. give all engineers their pick of harnesses, models, background agents: Claude code, Cursor, Devin, with closed/open models. Hearing Meta engineers are forced to use Llama 4. Opus 4.5 is the baseline now. - give your agents tools to ALL dev tooling: Linear, GitHub, Datadog, Sentry, any Internal tooling. If agents are being held back because of lack of context that’s your fault. - invest in your codebase specific agent docs. stop saying “doesn’t do X well”. If that’s an issue, try better prompting, agents.md, linting, and code rules. Tell it how you want things. Every manual edit you make is an opportunity for agent.md improvement - invest in robust background agent infra - get a full development stack working on VM/sandboxes. yes it’s hard to set up but it will be worth it, your engineers can run multiple in parallel. Code review will be the bottleneck soon. - figure out security issues. stop being risk averse and do what is needed to unblock access to tools. in your product: - always use the latest generation models in your features (move things off of last gen models asap, unless robust evals indicate otherwise). Requires changes every 1-2 weeks - eg: GitHub copilot mobile still offers code review with gpt 4.1 and Sonnet 3.5 @jaredpalmer. You are leaving money on the table by being on Sonnet 4, or gpt 4o - Use embedding semantic search instead of fuzzy search. Any general embedding model will do better than Levenshtein / fuzzy heuristics. - leave no form unfilled. use structured outputs and whatever context you have on the user to do a best-effort pre-fill - allow unstructured inputs on all product surfaces - must accept freeform text and documents. Forms are dead. - custom finetuning is dead. Stop wasting time on it. Frontier is moving too fast to invest 8 weeks into finetuning. Costs are dropping too quickly for price to matter. Better prompting will take you very far and this will only become more true as instruction following improves - build evals to make quick model-upgrade decisions. they don’t need to be perfect but at least need to allow you to compare models relative to each other. most decisions become clear on a Pareto cost vs benchmark perf plot - encourage all engineers to build with ai: build primitives to call models from all code bases / models: structured output, semantic similarity endpoints, sandbox code execution. etc What else am I missing?




Cursor scaled to $29B without any full-time PMs. Ryo (Cursor's Head of Design) walked me through how they work and it's the opposite of every big tech best practice: 1. Roles are muddy PM work is spread across designers and engineers. Everyone does what fits their strengths and uses AI to fill the gaps. 2. Most designs start with code directly Ryo barely uses Figma except for initial exploration. Most features start as live Cursor prototypes because "it feels more real than pictures." 3. No annual roadmap theater Just a "fuzzy direction" and features shipped to concentric circles (e.g., staff, nightly beta users, consumers, enterprises) to polish. Ryo also showed me exactly how he designs and codes new features using Cursor and how he avoid creating generic purple AI slop. 📌 Subscribe to watch our full tutorial tmr: @peteryangyt?sub_confirmation=1" target="_blank" rel="nofollow noopener">youtube.com/@peteryangyt?s…


Bun v1.2.23 - Fixes 119 issues (addressing 412 👍) - `bun install` migrates `pnpm-lock.yaml` → `bun.lock` - pub/sub in Bun.redis - concurrent `bun test` - `sql.array` for postgres client - Node.js compatibility improvements Thanks to 16 contributors! bun.com/blog/bun-v1.2.…




Minimalist dashboard - '24 work











