Semantic agent: the model+harness and ontology+data symmetry, the collapse of agent frameworks, ontology as the only non-commodity asset
Tony Seale
Public update from Darragh Curran (R&D, Intercom) nine months after his commitment to double R&D productivity in 12 months through AI. Result: **3x achieved in 16 months, with no signs of plateauing**. Quantified data from a 500-person R&D organization / 8.5M lines of code: **93.6% of PRs are agent-driven**, **19.2% AI-approved** (target >50%), cost/PR **-50%**, defect backlog **-54%**, time-to-shipping **-39%**, breaking-changes downtime **-35%**, top 5% of performers at **6x the median PR throughput**, **497 autonomous PRs** in the first 4 weeks, **153 contributors / 267 specialized skills** in a private *Skills-Based Plugin Architecture*. Curran declares ***"All technical work is becoming agent-first. This is the top priority for R&D."*** Pivotal article of the *agent-first organization* dossier, comparable only to Stripe Minions and StrongDM in the 2026 corpus.
Darragh Curran (R&D leader, Intercom — publication via Fin Ideas, plateforme média Intercom).
FinOps for AI agents centered on "cost per outcome": why traditional FinOps fails against runtime behavior, guardrails, behavioral observability, and a 4-phase lifecycle - Orq.ai
Sohrab Hosseini (co-fondateur, Orq.ai)
Claude Code Session Management: 1M Token Context Window, Compaction, Rewind, Subagents, and Context Rot
Thariq (@trq212)
Episode #351 of the French-language podcast **If This Then Dev** (Bruno) with **Julien Lépine**, Chief Technology Officer of **AWS France** (13 years at Amazon), recorded on the sidelines of the **AWS Summit Paris** (April 1, 2026, ~10,000 attendees). Pivot thesis: in the agentic era, writing code becomes secondary, and value shifts toward **understanding context, architectural trade-offs, and human accountability**. Central proof point: the **redevelopment of Amazon Bedrock** — a critical platform handling thousands of billions of requests — by a team of **6 people in 72 days** (vs. an estimated 30 people / 18 months), **code entirely generated by AI**, without vibe coding. AWS is **standardizing internally on Kiro** (IDE + CLI, running on Claude Sonnet/Opus) for ~30,000 developers (announced by Matt Garman at re:Invent). Throughline: **keeping control** without reviewing everything — via **formal modeling (TLA+)** and **Raisonnement automatisé** to prove invariants and bound agents, **blameless post-mortem**, and the principle that "responsibility for an agent's action rests with the person operating it." Emergence of the **AI DLC** (sprints → multiple daily **Bolts**) and the risk of **cognitive overload / burn-out**.
**Julien Lépine** — Directeur de la technologie (CTO) d'Amazon Web Services France · 13+ ans chez Amazon ; ses équipes accompagnent les clients AWS sur le cloud · la data et l'IA. **Hôte** : Bruno (créateur et animateur du podcast *If This Then Dev*).
Economics of AI usage limits for augmented coding — Expand phase — Limiting resources — Monetization strategy — Substack
Kent Beck
Harness engineering: a mental model for building trust in coding agents through feedforward guides and feedback sensors
Birgitta Böckeler
Agentic skills framework for coding agents — Superpowers — TDD methodology — GitHub
Jesse Vincent (Prime Radiant)
Brief Bain & Company **April 2026** (David Lipman, Greg Callahan, Daniel Goetz, George Sunderland — part 1/5 of the series *"software industry in the age of AI"*) analyzing AI's impact on the **Rule of 40** (canonical SaaS metric: *growth rate + profit margin ≥ 40%*), concluding on a **dual pressure**: **headwinds** (slowing market growth + massive AI infrastructure costs) and **tailwinds** (AI productivity + 10-25% EBITDA transformation + outcome-based pricing). **Central striking data point**: a *marketing technology* client case — **AI costs multiplied by 3.49 (+349%) while revenue increased only 38%** over one year. **Pivot thesis**: SaaS leaders may have to ***"settle for the Rule of 30"*** temporarily to remain competitive against **AI-natives**, accepting short-term margin compression in exchange for long-term positioning. **Two explicit paths forward**: (1) ***Financialize*** — minimize AI investment, optimize cash, operate as a *"durable generator"* but limit future growth; (2) ***Invest to Grow*** — accept short-term margin pressure, reinvest aggressively in AI capabilities across product and operations. **Tailwinds detailed**: sales/marketing/R&D productivity, successful transformations = **+10-25% EBITDA**, future *outcome-based pricing* opportunity (revenue shifted from fixed seats toward labor/operations economics), incumbents can leverage customer relationships and embedded workflows against AI-native challengers. **Headwinds detailed**: *"software penetration is topping out in some areas"* (market saturation), AI infrastructure + inference + model access introduce **significant variable costs in businesses that historically ran on high margins**. **CFO/board signal**: the Rule of 40 itself as a **stable norm** is starting to shift; some players will temporarily fall outside this norm, and **this is strategically rational**. **Major relevance** for B2B SaaS CFOs/CEOs/boards and software PE/VC investors evaluating portfolios — the first quantified institutional benchmarking of the *protect margins / invest aggressively* dilemma in 2026. To connect with: Bain **part 2/5 cross-system labor $100B** (2026-05), DORA ROI 2026 (financial framework), Wescale (realistic X3-X4), Tatsyi/Raiffeisen (bank −75 people), Curran/Intercom (3× R&D in 16 months), Menlo Ventures *State of Generative AI Enterprise* (2025-12-09).
**David Lipman · Greg Callahan · Daniel Goetz · George Sunderland** — partners et experts Bain & Company spécialistes industrie logicielle / SaaS / private equity software. Article publié en **avril 2026** sur bain.com/insights · **partie 1/5** d'une série Bain sur *"the software industry in the age of AI"*. La partie 2 (*The $100-Billion SaaS Opportunity Hiding in Cross-System Labor*, mai 2026) est dans le dossier de veille.
Developer Taste Versus Mediocre AI Code — Judgment and Discipline — Hiring for Taste — Software Quality — Substack
Fran Soto
Compound Engineering v2.60, mandatory code review with confidence scoring, hardened plan→work→review pipeline
Trevin Chow
Method article by Alex Pawlowski (The Strategy Stack, #151, March 30, 2026) proposing a major epistemic shift in *market research*: no longer collecting static reports but maintaining a ***living decision surface*** — a continuously evolving model of market dynamics. Central contribution: the **Tension Map**, which maps *contradictions and pressure points* (gaps between expectation and delivery, price tolerated without being embraced, incumbents without emotional resonance) rather than market share. Tooling in three modes (Discovery / Tension / Decision), a 7-step workflow, and an orchestrated tool stack (Perplexity for expansion → Claude for depth/continuity → ChatGPT for iteration → Multi-agent for challenge). Implicit reference: Richards Heuer's (CIA) *Analysis of Competing Hypotheses* method.
Alex Pawlowski (auteur de la newsletter Substack *The Strategy Stack*, focus stratégie et IA opérationnelle).
Jevons paradox applied to developers, Red Queen effect, sysadmin→DevOps evolution as analogy
Simon Wardley
Open agentic commerce, x402/mpp protocols, stablecoin micropayments, end of the advertising model
Sam Ragsdale
Historical rebuttal to Andreessen's claim that introspection is a modern invention, philosophical examples spanning 2,400 years - X/Twitter
Riley Ralmuto (@RileyRalmuto)
Role of the developer facing AI coding agents, one-day experiment with the BMAD method, evolution toward agent supervisor - Technical blog
Marco Mornati
End of the brain-hour as a unit of value, shift to the kilowatt-hour of intellectual work, economics of agentic computation - LinkedIn
Philippe Ensarguet
Anatomy of an Agent Harness: Agent = Model + Harness, foundational components and the evolution of LangChain harnesses
Vivek Trivedy
IDE Collapse Under the Agentic CLI: Three Developer Abstraction Layers Collapsing in Succession - X/Twitter
Cobus Greyling
Building for trillions of agents: API-first software, agentic infrastructure, new software paradigm - X/Twitter
Aaron Levie