Tag: codegeneration
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The human bottleneck
[The study] found that the average PR time to review increased by 49%, the number of comments per PR rose by 53%, and the share of PRs requiring changes doubled. Additionally, the share of workers performing code reviews increased by 14%, with no improvement coming from the adoption of AI to assist with the reviews…
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AI speeds up modernization projects by speeding up up-front analysis time
Using AI code stuff to remove bottlenecks to getting modernization projects going. UK government pilots cut legacy-system discovery from weeks to hours – five weeks to under a day for 33 Clojure apps, 15 days of manual regression testing to 30 minutes – and the real gain is that modernization work nobody could justify starting…
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Design systems are much more valuable now
Design teams have spent years trying to get people to actually read their design system documentation. Agents read it every single time. Related, check out this discussion of how the design team at Tanzu works with AI. Plenty of design system talk there. 🔗 Design Systems for AI Agents
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What a Claude Code Max plan pays for shifts around a lot
It’s hard to tell how many tokens you’re getting, and it changes on you for mysterious reasons: Before the change, somewhere between 30% and 67% of requests included a thinking block, and output averaged 250 to 960 tokens per request. After it, 95% to 100% of requests included thinking, and output rose to 2,500 to…
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Enterprise AI ROI at Bank of America: developers, optimizing normie workflows, double spending
Thus far, the most measurable AI returns are found within technology units, such as with software development and coding, BofA’s DeMare said. Across most industries, AI is boosting coding productivity about 15% to 20%, he said, and that’s the gain BofA is seeing as its 20,000 software developers use coding agents to optimize the development…
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Enterprise architect as context engineer
Sadly: the major issue with EA has always been cost of delay. The big problem is not that architecture tells development teams to change direction — development teams do this routinely. The problem is that architecture historically has taken too long. We have validated that assertion repeatedly with many chief EA pros. Now with agentic…
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programmers are managers now
The central task becomes describing an objective precisely enough for the system to divide it, establishing the rules under which the agents operate, and judging whether their collective output belongs in the codebase. 🔗 Claude Code Turns Software Development Into a Management Job
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Inside OpenAI’s agentic software factory
We’re talking about roughly a 10x increase in load on some systems. At most companies, that kind of growth might happen over two or three years. At OpenAI, we see it in about six months. 🔗 Inside OpenAI’s agentic software factory
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The Interfaces Are Arriving
For an engineering organization, the immediate consequence is reuse. An MCP server for an internal ticketing system can serve every compatible IDE, chat application, and agent. Models and hosts will keep changing; the interface contract, server implementation, schemas, and authorization wiring can endure. The integration becomes an asset shared across applications. Language servers followed the…
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Slop Is Really Good Now. Slop Is Where We Start Now
When the baseline is good enough, being intentional about which aspects need to be great is the whole job. The floor is rising; our job is to spot how to raise it further. Design here is knowing how to articulate and leverage craft. That’s a real opportunity for designers to be articulate, and to work…
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Your coding agent got the onboarding your developers never did
before you tune the tone of your next prompt, look at the AGENTS.md file your team wrote this quarter, and ask why the onboarding doc for your newest hire still doesn’t exist. 🔗 Your coding agent got the onboarding your developers never did
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the programmer’s boss is not competition
Perhaps more intriguing is the makeup of that adoption, and how it appears to be blurring roles. Senior leaders are doing more of the hands-on IC work, adopting AI aggressively to help them do it, and non-engineers are committing code. The suggestion that everyone in an organization is becoming a “builder” seems to be directionally…
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We need more than a metaphor: here are testable diagnostics for comprehension debt
“Comprehension debt” In Sonar’s State of Code Developer survey from January, 96% of developers said they don’t fully trust that AI-generated code is correct, but only 48% of them check it before committing. This stat is old now relative to the pace of AI adoption, but based on my continual interviews and conversations with development…
