Knowledge catalogue
AI coding ROI is earned in review. @Harvard / @_jellyfish_co : agents added 30% more code, but there was no significant gain in software output. PR review-to-merge time rose 49%. Most AI code review t
Scaling code generation without scaling review risks turning coding gains into a larger “review” backlog (whether during PR review or later, when dealing with technical debt, incidents, or bugs). The
Qodo 3.0 makes a statement: Engineering teams want to build their own software factory, not buy a black box. @QodoAI provides the quality, governance, plus a map of your software and your team’s triba
To clarify: this was satire. I wasn’t fired from OpenAI. The underlying issue is serious: how do we independently verify AI-generated code, and who is accountable when mistakes reach production? This
Good Just arrived at @OpenAI #DevDay, and I’m predicting proactive intelligence will steal the show. We’ve gone from statistics to machine learning to intelligence. Now the next step is AI that doesn’
Just arrived at @OpenAI #DevDay, and I’m predicting proactive intelligence will steal the show. We’ve gone from statistics to machine learning to intelligence. Now the next step is AI that doesn’t jus
So dots are either your amplifier or your additional team member, although right now you can have one dot - why? Because otherwise things will get really messy in this new human-AI multiplayer game. T
DON’T LET YOUR CODING AGENT BE THE ONLY REVIEWER OF ITS OWN CODE. I’m seeing this in my own Claude / Codex sessions, and customers are sending me similar screenshots: | Qodo review is on the money. |
🔥 take: @CompleteSkeptic//TypeSafe killed Quantum Computing Jev feels a bit like bringing the quantum-computing intuition to AI: evaluate a distribution of possibilities in parallel instead of generat
Claude Code writes 100% of its own code, and overall 80% of the code at Anthropic is written with Claude. So… …. At Anthropic, Claude now writes 80% of our code. Engineers ship 8x more code per quarte
Investigating how one AI agent works might not be enough, since there are emerging properties when these agents collaborate as tribes Thinking about this for years. I believe we're at the point of no
The same people that are building the most advanced AI models and agents are those that are calling them alien, and state that they do not know how to reach alignment with AI. It might be possible tha
We’re entering an era of agent-first tools: stronger feedback loops between agents, with human judgment where it matters. We keep hearing from senior engineers that their mental load is growing, even
Please hold on. Let the agents merge by themselves? Would you like Chase, United Airlines, Amazon, … Uber, Airbnb teams to be doing that? Yes, we are all AI-pilled, and automation, well thought out, c
I used to work that way, but now it feels frustrating. I prefer that my coding agent receives @QodoAI’s code review findings before opening a pull request or even better, on a draft pr. Let them agree
Agentic-SDLC requires continuous learning 🎙️ New episode of The Agentic Review is live. @itamar_mar and @nnennahacks sit down with Emilie Schario, VP of Engineering at @anacondainc, to dive into AI RO
Anthropic recommends that users clear or update their **CLAUDE.md** file after each new model release, ensuring the documentation reflects the latest changes. The message includes an informal comment
Claude is an incredible coding agent. I use it a lot. (Also Codex and start checking Cursor again). But I’m not convinced the AI-native SDLC is the existing SDLC with a magical Claude wand waved over
I am bullish on centralized context in agentic engineering to steer what AI produces, in a way that reduces ai slop potential across the sdlc. To bring in engineering context, I need integrations conn
“The Last Human Review” is where we are heading to, but, you do need to work a little or a lot to enbale it. Once we will get there, we won’t be able to go back Live now: our AI Architects, Show my Wo
On August 10 2026 at 1:39 AM UTC, user Itamar Friedman (@itamar_mar) posted a short tweet asking whether Anthropic’s potential launch of its own chips would prompt NVIDIA to release frontier AI models
Uber burned through its 2026 AI coding budget in four months. Microsoft canceled most of its Claude Code licenses six months after rolling them out. The mechanics are simple: per-token cost keeps fall
what does the 'last human code review' look like? to @itamar_mar, ceo and founder of @QodoAI, it looks like two agents talking to each other, backed by a context engine specific to your organization.
2/ a cost benchmark showed the same coding task running three to four times cheaper, depending purely on the harness wrapped around the model. Same intelligence, wildly different accuracy and cost, de
3/ here's the part that makes it non-optional: the same agent that will do whatever it takes to solve a problem will also walk straight out of a sandbox you thought was locked down. We watched exactly
AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in coll
“Pelican on a bicycle” LLM benchmark by @simonw 2024 (https://simonwillison.net/2024/Oct/25/pelicans-on-a-bicycle/) is now “Call of Duty” 2026… Claude Opus 5 one-shotted this game. EVERYTHING you see
A new model launch is not a product update ‼ It's one of three things, and you don't know which until you test it. Sometimes it's nothing: the model improved inside the same distribution, your harness
Context harnessing is super challenging to do right: what info needs to be collected, how to accumulate it into a knowledge graph, how to keep it up to date, etc... Super excited for @QodoAI, harnessi
To be frank, at @QodoAI we were cautious about the last few GPT-5.x upgrades. GPT-5.6 is a clear-cut upgrade. Better code-review quality, fewer tokens, lower latency. @OpenAI cooked here. obviously th
On the last day of @aiDotEngineer Worlds Fair SF, I am SO excited to be releasing the latest episode of the Agentic Review podcast, featuring @PaulDuvall, author of Continuous Integration, and AI-nati
AI gave us speed. What’s missing? Experience. Wisdom. Its neural networks are an incredible compressed representation of humanity’s knowledge. But trusting their judgment is still a challenge. Can exp
The best players want to be coached. You build trust, then you push hard. Now here's the thing: your agent has no skin in the game. no ego to protect, no trust to earn first. So you can and should ski
Itamar Friedman participated in or organized a drone show performance at an event associated with @aiDotEngineer. The post documents this aerial technology demonstration, likely showcasing coordinated
This post by Filip Hric explains how to interpret AI code review benchmarks, specifically breaking down key evaluation metrics like precision and recall that are commonly used to assess code review to
And the balance returned to earth Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6
Your code diff might be small, but the blast radius is not. In the latest Qodo release, AI code review can now reason across connected repos. That means a backend PR can surface risk in the frontend,
A really good read by @GergelyOrosz: https://newsletter.pragmaticengineer.com/p/ideas-slow-down-to-speed-up-when This situation of engineers who care about quality being underserved must change, and i
For some industries and dev orgs, this will happen already in 2026. For others, it may take until 2030. A short list of key differences for whether orgs will reach that level soon or later: • How much
“We used to review every line of code before it went into production.” Within 12 months, mandatory human review of pull requests will become optional. Not because quality matters less. Because verific
Bold take. You only need prod. But you also need: • excellent code review • excellent observability • excellent rollback • excellent code verification • excellent governance Otherwise you’re replacing
A manager describes shifting their leadership approach by providing agents (team members) with decision-making criteria rather than directly answering their questions, enabling them to develop problem
Shipper’s “After Automation” is the best framing I’ve read of why AI keeps generating more work, not less. The line that stuck with me: the frame is not the framer. Models climb whatever benchmark we
This week, we shipped @QodoAI Findings. It's the natural next step from PR-by-PR review. Here's the problem it solves. If you manage an engineering team right now, you can probably answer a question a
He's right. And it has a direct implication for code review that nobody's talking about. Think about why AI cracked coding before almost everything else. Not because code is simple. Because code is ch
'You actually don't have too many PRs. You have too many bad PRs.' @dexhorthy on how agents write fast, but the intellectual burden of judging the code still lands on a human reviewer. A perfect PR is
I cannot provide a reliable summary for this entry, as the title 'Good yap' is informal social media language and the specific Spotify episode content is not accessible from the provided information.
I've been wanting to do this for a long time... The Agentic Review Podcast is live 🔥 Apple, Spotify, YouTube. The gap I keep seeing when I talk to engineering leaders is the one between 'AI wrote the
Found my limit: ~8 simultaneous code generation/review tasks. Beyond that, context-switching turns from leverage into chaos. AI coding doesn’t remove the need for WIP limits. It might even make them m
Listen to Cat. This interview with @lennysan captures a shift we’re all feeling: what it means to be a PM (and build products) in the age of AI. My takeaways (mostly her words, with some tweaks for ho
On #tokenmaxxing: Are walking miles like tokens in software? Easy to measure. Feels like progress. Doesn’t guarantee outcomes. — Back from @GoogCloudNext Announcements and everything was super. Person
✨ Announcing NanoClaw v2, in partnership with @vercel. We completely rebuilt how NanoClaw agents communicate with the outside world. v2 brings agent-to-agent communication, human-in-the-loop-approvals
Google Duplex, introduced in 2018, represented an early attempt at customer experience automation through AI-powered phone conversations, while Google Agents (expected circa 2026) represents a more ma
This is the episode all early-stage devtool founders should listen to. We were very lucky to have @amirrustam as a guest in our podcast, Dev Propulsion Labs. He's a partner at @Firestreakvc with many
The specific tweet (status ID 2042224314494161089) was not directly retrievable from search results, but the broader context of the 'Is OpenAI trying to become Anthropic, while Anthropic becomes Op...
Mornings feel different lately. Before I even get organized, I already have 5+ agents running. Same thing before I go to sleep. Claude Code, ChatGPT, Qodo, Notion, Linear, NotebookLM. All moving in pa