- Pointer
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- Issue #713
Issue #713
Essential Reading For Engineering Leaders
Tuesday 5th May’s issue is presented by Atono
AI is accelerating development teams, but overall velocity hasn't really improved. The bottleneck isn't at the code layer. It's upstream, in the gap between what product teams decide and what engineering teams actually receive.
Atono's Context Gap Industry Report shares what they found when they asked 350 engineering professionals where AI product development actually breaks down.
Inside the report:
Why 52% of teams have no shared AI context across developers
How unclear requirements drive the majority of engineering rework
Why AI at the implementation layer, without clarity at the planning layer, mostly accelerates rework
What teams with the least rework are doing differently
If you're leading engineering, this report shows you where the real leverage is.
— Michael Lopp
tl;dr: “In this piece, I will explain the projects, people, and political developments you always want to share - no matter what. While I will strive to make this complete, there is one type of development you must always report.”
Management Communication ManagingUp
— Kirill Bobrov
tl;dr: “I’ve developed a mental checklist of “stupid” questions that have saved me more times than I can count.” The author shares some of these with the understanding that most engineering failures happen because someone was afraid to look stupid.
Communication CareerGrowth
tl;dr: Better specs = fewer refinement cycles = faster shipping. Most acceptance criteria look solid on paper until engineering starts building. This post shows how product teams are using AI to validate feature logic through interactive mockups—surfacing edge cases and hierarchical complexity before specs reach your team.
Promoted by Atono
AI Product
— Kim Scott
tl;dr: “Engaging your team with fun feedback exercises can help create a culture of open communication and continuous improvement. Here are a few ideas you might find helpful.”
Management Guide Feedback
“If you hear a voice within you say, ‘You cannot paint,’ then by all means paint and that voice will be silenced.”
— Jordan Lord
tl;dr: “I’ve been a builder for 10 years, and I've built products that went nowhere because they were either too complex or had no identity. These are the constraints that I landed on after making those mistakes.”
AI Guide BestPractices
— Nacho Martinez
tl;dr: Small language models often fail at multi-step reasoning, but agent-based architectures can bridge the gap. By layering search and control flow over LLM calls, the agent-reasoning framework adds 16 research-backed strategies to any Ollama model with zero code changes.
Promoted by Oracle
AI DeepDive Guide
— Sergio Visinoni
tl;dr: A walkthrough of running a technical due diligence during M&A. Covers what the data room actually is, the four types of deals - brand acquisition, independent operation, full integration, acqui-hire - and what to prioritize in each - from security and compliance to talent assessment to data portability.
Leadership Guide Business
— Philip Pearl
tl;dr: “This year I chose to investigate “Swiss tables”, the new hash table idea behind recent improvements to Go’s maps. Why am I interested in this? I’ve written a number of specialist hash tables, and I wondered if these approaches would lead to any performance improvements.”
DeepDive Performance
— Rajesh Bhatia, Scott Roe-Meschke, Ayush Thakur
tl;dr: “Eleven months ago, we undertook a major project: to truly integrate AI into our engineering stack. We needed to build the internal MCP servers, access layer, and AI tooling necessary for agents to be useful at Cloudflare. We pulled together engineers from across the company to form a tiger team called iMARS (Internal MCP Agent/Server Rollout Squad). The sustained work landed with the Dev Productivity team, who also own much of our internal tooling including CI/CD, build systems, and automation.”
AI Infrastructure CaseStudy
Most Popular From Last Issue
Drunk Post: Things I’ve Learned As A Senior Engineer - Kirill Bobrov
Notable Links
CodeBurn: Track token usage, cost, and performance.
Flue: Agent harness framework.
Openhare: AI-powered, cross-platform desktop SQL client.
Space Agent: OS agent that builds your space in the browser.
SuperPlane: OS control plane for platform engineering.
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