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Engineering Leadership - Page 5
AI decisions through the lens of teams and execution. Curated tldw.news briefings about engineering leadership, with practical engineering takeaways from long-form AI and developer-tool videos.
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David OndrejLocal AI crosses a threshold: what running 180B models on a $7K
A 180B model on a $7K laptop generates games offline. The demo is real. The question for engineering leaders: is local AI production-ready yet, or still a demo?
AI EngineerMonzo's Slack Agent Writes 10% of PRs. The Platform Did That.
Monzo's Slack agent authors 10% of merge PRs. The real story is the platform, MCP gateway, and sandboxing that made it safe.
Cole MedinStop tweaking prompts: engineer the harness around your production agents
Production agents need harness engineering: versioned markdown rules, trace-based fixes, and human approval. The demo is a vendor pitch, the workflow is real.
AI EngineerCompliance velocity in banks comes from showing work, not better AI.
AI in banks moves from year-long to weeks when you prove CVEs dead, build your own DR, and stop LLM-judge traces leaking PII.
AI EngineerAI in Finance: The Edge You Can't Download Sits in a Trader's
The real edge in financial investing isn't a better model—it's the contextual judgment a human trader builds over decades. AI should feed it, not replace it.
AI EngineerAgent Autonomy Is a Confidence Ladder, Not a Switch
Coinbase's recipe for unsupervised agents: measure confidence, start supervised, sample outputs, then humans handle exceptions. Defining good is the hard part.
AI EngineerAgent Harnesses Stop Adding Coding IQ. Now They Manage Cost and Risk.
Agent harnesses no longer make coding models smarter; they now shape cost, permissions, and which agentic work is possible. The shift is underway.
IBM TechnologyAgent loops run by themselves; comprehension debt is the new bottleneck
Loop engineering automates prompting, but agents still need human goals, documented intent, and review. Comprehension debt is the part most teams will miss.
AI EngineerThe M&A route to AI deployment: buy the customer, own the outcome
Can M&A be the fastest path to AI transformation? Long Lake's $7.5B bet says yes, but the proof rests on a J-curve, not production data.
InfoQLetting AI approve low-risk PRs cut Duolingo's median merge time
Duolingo's LLM bot auto-approves low-risk PRs, cutting median merge time from 18 to 12 hours. The hard part wasn't the model.
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