Empirical study by the **Compare the Market** engineering team (Meerkat Careers, UK) evaluating four approaches to **context retrieval for AI code review**: Baseline (no additional context), **RAG** (vector search), **GKG** (GitLab Knowledge Graph, AST-based knowledge graph), and **GKG+RAG** (hybrid). Evaluation on **79 real merge requests** with **MLflow on Databricks**. Striking result: **RAG performs worse than the baseline** on almost every metric — vector noise is counterproductive for code review. **GKG outperforms RAG by +21%** in inline comments coverage (0.696 vs 0.577) through structural AST understanding (Tree-sitter + Kuzu graph database). Code requires **structural** understanding (callers, signatures, hierarchies), not mere semantic similarity. GKG costs 4× the baseline but delivers measurable improvements; RAG costs 3× with no improvement. Implemented as a **Docker sidecar** in CI/CD wrapping the GKG binary (still in GitLab beta) with a local MCP server.
#Compare the Market#Meerkat Careers#AI code review
Équipe Engineering Compare the Market (Meerkat Careers, UK — site de comparaison d'assurances et services financiers).
BCG-HBR study (Bedard, Kropp, Hsu, Karaman, Hawes, Kellerman) of 1,488 US employees, January 2026: formal definition of ***AI brain fry*** (acute cognitive fatigue linked to AI oversight), 14% of AI-using workers affected (Marketing 26%, Legal 6%), productivity peaks at 3 simultaneous tools, +33% decision fatigue / +39% major errors / +39% intent to leave among the "brain fried," empirical distinction between **burnout** (emotional, eased by AI on routine tasks -15%) and **brain fry** (acute cognitive, worsened by oversight). 5 recommendations for leaders, "AI orphan tax" (+5% fatigue when the manager expects the employee to figure it out alone), org work-life balance -28%. Pivotal academic source cited by Les Echos and the 2026 debate.
Analysis of the total cost of ownership (TCO) of local LLMs versus cloud APIs in 2026. The article demonstrates that per-token pricing is a trap and that only the full TCO (hardware, electricity, cooling, labor) informs the decision. Key highlight: local/cloud break-even points fell by 40% between 2024 and 2026. Source: SitePoint (developer-focused technical media).
**Consolidated dossier** March 2026 on the **death of the billable hours model in the advertising/communications industry** — combining the **VoxComm report** *"Redesigning the Agency Value Model"* (95 pages, March 2026, **Brian Kessman** of **Lodestar Agency Consulting** + foreword by **Tim Williams** of **Ignition Consulting Group**, intro by **Charley Stoney** President of VoxComm / CEO of **EACA European Association of Communication Agencies**) and the **MediaPost opinion article** *"Billable Hours Are Dead, AI Killed Them, Here's How To Survive"* (March 3, 2026, **Joe Mandese**, Editor-in-Chief of MediaPost). **Shared pivot thesis**: the business model of communication agencies (billable hours / labor-based compensation / service business model) is **structurally disqualified by AI**; agencies must ***"decouple revenue and profit from staffing numbers"*** (Stoney). **MediaPost figures (Mandese)**: agency margins **30% (golden age) → 10% (current average)**; creatives produce **~5× the output** for the same pay or less than 10 years ago. **Mandese's diagnosis**: *"We are defining and monetizing our value through time and effort rather than business impact"* — when agencies sell **hourly services**, they sell **commodities** vulnerable to **AI cost compression**. **Tim Williams quote**: ***"At the heart of our industry's challenges lies a simple economic truth: incentives matter. When agencies embraced the hourly rate model, they unknowingly created a structural misalignment. What agencies are rewarded for — more hours — clients are incentivized to minimize."*** Zero-sum outcome, **race to the bottom**. **Williams' pivot solution**: ***"You are not in the service business. Agencies don't sell services and capabilities, but rather solutions to business problems."*** **Mandese's 4-shift framework**: (1) Define narrow expertise areas; (2) Codify repeatable productized solutions; (3) Build teams around outcomes, not utilization; (4) Replace rate cards with value-based models (fixed fees, subscriptions, performance-based pricing). **Concrete examples**: **FIG** (decoupled pricing from staffing), **72andSunny** (modular product menus), **Monks** (single subscription combining talent + tech + improvement). **Methodological critique**: MediaPost commenters dispute the historical 30% margin figure, suggesting real figures closer to 12-15%. **VoxComm report** structured into 8 chapters: When Your Model Works Against You / Mapping Your Value Model / Case Studies / How to Pivot / How to Price / How to Plan / How to Navigate / Online Tools. **Major relevance** for the dossier: this is the **agency counterpart** of the consulting shifts (McKinsey/Sternfels 60,000 = 40,000 humans + 20,000 agents, January 2026) and SaaS shifts (Bain Rule of 40 → Rule of 30, April 2026). **Cross-cutting convergence for knowledge-intensive services**: consulting + agencies + SaaS are simultaneously shifting from *time-and-materials* to *outcome-based*. To be leveraged for agency/consultancy/marketing/communications executive committees, strategic presentations on AI transformation of services, sourcing on the 30%→10% margin figures.
#VoxComm#Redesigning the Agency Value Model#Brian Kessman
**Rapport VoxComm "Redesigning the Agency Value Model"** :
Official FinOps Foundation guide to AI: token economics, KPIs, caching, prompt optimization, model selection, and extension of the FinOps Framework's 14 capabilities to GenAI services - FinOps Foundation
#FinOps Foundation#token economics#cost per token
FinOps Foundation — groupe de travail (Brent Eubanks/Wayfair, James Barney/MetLife, Eric Lam/Google, Adam Richter/AWS, Rahul Kalva/Wells Fargo, JJ Sharma/KPMG, Karl Hayberg/EY, et al.)
Thoughtworks retreat on the future of software development with LLMs — reflections on organizational impact, cognitive debt, and supervised programming