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  1. Page 1: Today’s IndexTLDR AI, TLDR Hardware, TLDR IT, TLDR DevOps, TLDR Data, TLDR Crypto · 9 stories
  2. Page 2: TLDR AITLDR AI · 15 stories
  3. Page 3: TLDR HardwareTLDR Hardware · 11 stories
  4. Page 4: TLDR ITTLDR IT · 5 stories
  5. Page 5: TLDR DataTLDR Data · 11 stories
  6. Page 6: TLDR CryptoTLDR Crypto · 11 stories
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  8. Page 8: TLDR — continuedTLDR · 8 stories
  9. Page 9: TLDR DevTLDR Dev · 13 stories
  10. Page 10: TLDR InfoSecTLDR InfoSec · 12 stories
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  12. Page 12: TLDR FoundersTLDR Founders · 12 stories
  13. Page 13: TLDR MarketingTLDR Marketing · 12 stories
  14. Page 14: TLDR DevOpsTLDR DevOps · 10 stories
  15. Page 15: TLDR FintechTLDR Fintech · 14 stories
  16. Page 16: Resources & ToolsTLDR AI, TLDR Dev, TLDR InfoSec, TLDR Design, TLDR Data, TLDR DevOps · 15 stories
  17. Page 17: SponsoredTLDR, TLDR AI, TLDR Dev, TLDR InfoSec, TLDR Founders, TLDR Marketing, TLDR Data, TLDR DevOps, TLDR Fintech · 18 stories
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Daily Edition · Page 17

THE DAILY INDEX

Technology, AI, software, security, crypto and business

Paid placements from today’s newsletters

Sponsored

Sponsored · TLDR Dev

[WEBINAR] HOW TO STOP BABYSITTING YOUR AGENTS

Agents can generate code. Getting it right for your system is the hard part. You end up wasting time and tokens in the correction loops. More MCPs, rules, and bigger context windows give agents access to information, but not understanding. The teams pulling ahead have a context layer to give agents exactly what they need for the task at hand. Join us live on Sep 23 (FREE) [4]to see: * Where teams get stuck on the AI maturity curve and why common fixes fall short * How a context layer solves for quality, efficiency, and cost * Live demo: the same task with and without a context layer

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Sponsored · TLDR Data

STAKEHOLDERS OFTEN SPOT BROKEN DATA BEFORE THE DATA TEAM DOES.

According to a Monte Carlo/Wakefield survey, 74% of organizations now report it. The failure is usually the ingestion path, not the dashboard. ‘Building a real-time data transport layer with Confluent Cloud and AWS' demonstrates the change-data-capture transport pattern. Read the tutorial in AWS Marketplace [5]. The Data Pipelines and Lineage guide goes a level up from the tutorial: lineage from source to AI agent response, data quality, pipeline observability. See the

aws.amazon.com

Sponsored · TLDR DevOps

ANTHROPIC, SPACEXAI, WORKDAY, AND GOOGLE ON SHIPPING SOFTWARE IN THE AI ERA

AI coding tools are accelerating development. Now the rest of the SDLC has to keep up. At {unscripted} Virtual, hosted by Harness, leaders from Anthropic, SpaceXAI, Workday, Google, and more will share how teams are adapting software delivery for the agentic era, including how to: ✅ Build pipelines for AI-driven development ✅ Scale velocity without sacrificing reliability or governance ✅ Decide where agents can act and where humans stay in the loop September 30 | Virtual | 10:00 AM PT

unscriptedconf.io

Sponsored · TLDR Fintech

3X GROWTH WOULD CHALLENGE MOST FINANCE & HR TEAMS. BUT NOT THIS COMPANY'S.

Rapid growth comes with its costs: extensive manual setup when employees join, change roles, and leave. Misaligned info across finance, HR, and senior leadership. Opaque context for spending decisions. So when Aven grew 3x, it started by tackling the potential headaches [5]. This Wednesday, September 23rd, hear from Aven, Ramp, and Gusto to learn how a new integration clears the path for rapid growth.

virtual.ramp.com

TLDR IndexPage 17