TLDR Product

TLDR PRODUCT MANAGEMENT 2026-05-12

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01GENERAL

03OPINIONS & TUTORIALS

INTENT IS THE DESIGN SUPERPOWER AI CAN'T REPLACE

AI makes prototyping fast, but speed is no longer the designer's advantage. The real edge is intent: understanding the problem clearly before using AI to build.

somedesigners.substack.com6 min read

APPLICATION PERFORMANCE IS A PRODUCT REQUIREMENT

Application performance is a product requirement. Product and engineering must define what “fast enough” means for key user journeys, then balance performance work against the need to keep the system changeable.

echooff.dev5 min read

04RESOURCES & TOOLS

Sponsored

HOW VULNERABLE IS YOUR IDENTITY STACK?

Many ID verification providers are "black boxes" built on third-party wrappers, leading to hidden latencies and brittle integrations. LEARN WHY A VERTICALLY-INTEGRATED STACK [9] IS ESSENTIAL to eliminate vendor-on-vendor lag, ensure architectural integrity, and truly own your user's trust by verifying the tech behind your verifier. Read the

veriff.comSponsor

HIDDEN TECHNICAL DEBT OF AI SYSTEMS: AGENT HARNESS

Agent harnesses are hidden AI technical debt. As models improve, today's prompts, workflows, and tool wrappers will become obsolete, so teams should keep harnesses thin, invest in durable skills and evals, and build systems they can replace easily.

leehanchung.github.io15 min read

THE COMPUTERS TALK TO US NOW

Computers can now talk to us and do real skilled work. Software, teams, and organizations must adapt to a world where agents are no longer just tools, but active participants in how systems get built and used.

roundup.getdbt.com4 min read

05MISCELLANEOUS

ESCAPE FROM AGENTIC LOOP

AI agent orchestration can become “doom building,” draining attention while feeling productive. Most agent work should be supervised through clear scopes and review blocks, while staying deeply involved only in the creative work that needs human judgment.

proofofconcept.pub5 min read

MINIMALLY VIABLE CONSISTENCY

Organizations need enough consistency to stay aligned, but not so much that teams lose flexibility. AI can help translate across different ways of working, as long as it does not replace the human sensemaking that creates real alignment.

cutlefish.substack.com5 min read